Files
pdfcraft/crates/create/src/lib.rs
T
9f04acccef M10: OCR engines, confidence, preprocessing and a review workflow (#977)
* M10.20: plan Unicode text for OCR output in Type3 faces (fonts, edit)

OCR output used to flatten every character beyond WinAnsi to a silent `?`. This
adds the two pieces that let the OCR layers write the recognized words as they
are; the OCR code that uses them follows in M10.21.

pdfcraft-fonts
- `TextPlan::for_words` maps each word to the standard Helvetica when WinAnsi
  covers it, else to Type3 fonts drawn from the craft-fonts faces (the Japanese
  document face first, then the rest of the build input). Characters no face
  has a glyph for are counted (`missing`), never dropped silently. At most 240
  characters per font and 2400 per plan, so one hostile word cannot balloon.
- Which face has which character is asked once per (face, character) for a plan,
  not once per word.
- `face_has`, `craft_glyph`, `win_ansi_char`, `fits_win_ansi` are public for it.

pdfcraft-edit
- `add_type3_fonts` / `stamp_with_fonts` register a plan's fonts on a page under
  a free `PCOcr`, `PCOcr1`, ... name, build each font once and share the object
  with later pages. A shared face is registered under a free name on a later
  page that already has a font of the name it was given first, instead of
  replacing that page's own font.
- The fonts carry real advances and a ToUnicode CMap, so extraction reads the
  text back.

pdfcraft-redact
- A test shows a hand-built Type3 text layer (the shape the OCR output writes) is
  redacted like any other text and the verifier passes.

Tests: pdfcraft-fonts 62 passed, pdfcraft-edit 129 passed, pdfcraft-redact 33
passed; clippy -D warnings clean on the three crates. The name-reuse and the
redaction tests build their fonts by hand, so they run without the craft-fonts
build input; the tests that plan real faces skip without it and were not run in
this commit's own check.

* M12: give the hostile-XFA open test more room on a loaded machine

The test opens a form whose calculate script sets a value 50 000 times, against
the one-second budget of an unasked script and a five-second wall-clock bound
on the open. Both sit close to what a machine running several suites at once
can take, so the test can fail without anything being wrong.

It now runs 20 000 iterations (the total is 19999) and allows 30 seconds, which
still fails for a script that hangs or is not capped. Test-only; unrelated to
the OCR work in this series, so it is a commit of its own.

Tests: both hostile_xfa tests in pdfcraft-engine pass.

* M10.21: pluggable OCR engines, preprocessing, review sessions and the OCR tools (ocr, engine, create, automation)

Scan & OCR gets a second engine, optional raster clean-up, a review step before
anything is applied, editable output and a batch mode, headlessly first: the
interface for them follows in M10.22.

pdfcraft-ocr
- A `Recognizer` trait with two engines: the built-in ocrs (moved out of lib.rs)
  and the installed tesseract program, run as a fenced external process: fixed
  argv, allow-listed language codes, a private temp directory (mode 0700 on
  Unix), 120 s timeout, 64 MiB output cap, 50 000-word reading cap. A location
  from PDFCRAFT_TESSERACT is validated (absolute, existing, executable) and an
  invalid one fails closed instead of falling back to the PATH. `--list-langs`
  and `--version` are read from stdout or, for older versions, stderr.
- Strategies: PrimaryOnly, ConfidenceWeighted (the second engine joins when the
  first reading's mean is under 70 or unknown) and a ROVER merge (higher
  confidence wins per word; against an ocrs word of unknown confidence a
  tesseract word wins only at 70 or more; capped at 100 M comparisons; a failing
  partner degrades to the primary with a note).
- Preprocessing: opt-in auto-rotate, deskew, denoise and binarize on the RGBA
  raster, each with an exact inverse so word boxes map back to the scan. The
  300 dpi normalization the steps are calibrated for runs only when a step is
  on: with every step off the render is read as rendered, as before. (Enlarging
  a 72 dpi render 4x on its own made the models read "due: €250" as "ue: ?250".)
  `OcrImage` is validated by construction (side and 64 MP area caps, checked
  before any buffer is allocated, including by the resize).
- Confidence bands (High >= 90, Medium 70-89, Low < 70) drive review.

pdfcraft-engine, pdfcraft-create
- `OcrSettings` gains engine, strategy, the four steps, output mode, region, the
  skip flags and the low-confidence threshold; Automatic reads confidence
  weighted unless a strategy is chosen.
- A recognition is a session: the document guard refuses a stale result with its
  reason, pages can be applied one at a time (the guard is taken again after each
  applied page), and applying is one undoable step. A per-language dictionary
  (a plain-text file: words added from any document stay on disk after it closes).
- Output is searchable (an invisible layer) or a NEW editable document of visible
  text at the recognized boxes (`create::from_contents`); words beyond WinAnsi use
  the Type3 faces of M10.20 in both, with the shared plan across pages.
- Engine discovery never blocks the interface: results are cached, a stale
  answer is shown while a background probe retries, and the models search and
  `--version` are cached. Batch: pages or files that already have text are
  skipped unless forced, and inputs sharing a file name are found up front.

pdfcraft-automation
- ocr_recognize (engine, strategy, steps, region, output mode), ocr_words (with a
  retained review handle), ocr_review_apply, ocr_dictionary, ocr_status and
  ocr_recognize_files. The editable `out` must be a new file inside --root and is
  refused for a searchable run (it used to be ignored), two batch inputs of one
  file name are refused before anything is read, and the batch folder is checked
  for existing outputs.

pdfcraft-ui-egui
- Only what the new API needs: the Recognize Text dialog reads with
  `recognizers(&settings)`. `ocr.correct` is registered with its label in every
  catalog; the screen itself is M10.22.

Tests: pdfcraft-ocr 78 passed; pdfcraft-create passed; pdfcraft-engine and
pdfcraft-automation 450 passed and 1 failed (the automation lib 17, automation.rs
157, hostile_args 2 among them); pdfcraft-ui-egui lib + ocr + control tests 391
passed; clippy -D warnings clean on the five crates. The one failure is in a
test this commit does not change:
recognize_text_makes_a_scanned_page_searchable fails where the models are
installed (they read "quick" as "auick" at that render size); the roadmap on main
already records it. The real tesseract binary ran in
tesseract::tests::recognize_runs_the_installed_binary (tesseract 5.4.0, PATH).

* M10.22: OCR Verify screen, the Recognize Text options and the interface catalogs (ui-egui)

Scan & OCR ▸ Correct recognized text: a full-window screen where a recognition
is reviewed before anything is applied, plus the dialog and batch options for
the engines of M10.21.

OCR Verify screen
- Four panes: the page list, the source page with confidence-coloured word boxes
  (click to select, drag to draw a region), the recognized text, and a zoom plus
  word inspector. Corrections commit on Enter (an empty commit removes the word),
  Remove/Restore, "+ Dictionary" (a per-language file in the preferences folder,
  so a word added from a document stays on disk after it closes), per-word and
  per-page Verified, F8 / Shift+F8 walk the low-confidence words, Ctrl+T marks the
  page reviewed, Ctrl+Tab moves the pane focus, and review edits undo within the
  panel.
- Re-OCR of the whole page or a drawn region. A region re-read moves the review
  marks of the words it keeps to their new positions and selects the first new
  word; a whole-page re-read clears that page's marks (and the undo brings them
  back). The region outline is scaled onto the pane, not mapped through user
  space again, so it is right on rotated and cropped pages.
- Accept / Reject per page or whole. Pages accepted one at a time each apply once
  (the document guard is taken again after each applied page; an edit made
  elsewhere in between is still refused with its reason), and Accept in
  searchable mode is one undoable step. Editable mode writes a NEW
  `<name>_ocr.pdf` through a save dialog and never the source. A real Cancel
  keeps the pages already read.
- The engine and strategy menus disable a choice that cannot run and say why;
  the check never waits on a process (a background probe fills a cache), and
  choosing Automatic moves "Primary only" to Confidence weighted.

Recognize Text dialog and batch
- Engine, strategy, the four clean-up steps and the skip flags are remembered with
  the other choices (a saved Automatic without a strategy reads confidence
  weighted). The batch refuses two inputs of one file name and existing outputs
  before reading anything, notes low-confidence pages at the settings' threshold,
  and its toast has a Cancel (the file in flight finishes).

Catalogs and attribution
- The 90 new interface strings are in all 21 catalogs (the Lithuanian ones were
  written without native review, and the Bulgarian ones avoid U+045D, which the
  bundled monospace face lacks). ATTRIBUTION.toml carries the new hashes, a
  note on the Lithuanian entries and the README screenshot; ATTRIBUTION.md is
  regenerated.
- README: a screenshot of the Verify screen, taken with
  `cargo xtask screenshots` from a synthetic scan (`shot --ocr-verify on`) built
  from allowed assets; the page reads it with the real engines.

Tests: pdfcraft-ui-egui lib 373 passed (1 ignored: the Windows hinting
measurement probe), tests ocr 6, control 46, fonts 9; clippy -D warnings clean on
the engine, ui-egui, pdfcraft and xtask packages; `cargo xtask assets` ok. The
review state machine has unit tests for every fix above; each was seen failing
with its fix reverted.

* M10.23: parity entries, roadmap and localization notes for the OCR workflow

Records what M10.20-M10.22 ship, and what they do not.

parity/acrobat-features.toml
- Status changes against main: ocr.rotation-detection and ocr.deskew planned ->
  shipped (the opt-in steps of M10.21, with their tests); ocr.correct-recognized-
  text and ocr.ocr-engines planned -> partial. Other Area I entries get their
  evidence and notes brought up to date.
- ocr.correct-recognized-text: the evidence includes the one-page-at-a-time accept
  and the region re-read tests; the notes say what the headless tools cover
  (ocr_words with a retained review, ocr_review_apply through the same stale-
  document guard, ocr_dictionary) and what is still UI-only (suggestions,
  per-word Verified marks, region re-reads).
- ocr.ocr-engines stays partial rather than shipped: part of its evidence is
  conditional (the real-binary test runs only where tesseract is installed and
  skips elsewhere, and the process-level tests are Unix-only). It cites the tests
  that always run (location validation and the fail-closed rule, --list-langs
  parsing from stdout or stderr, the merge rules, the default strategy) and says
  which part is not proven everywhere.
- `cargo xtask parity`: area I 32.7% -> 44.2% weighted (5 -> 7 shipped, 7 -> 9
  partial); overall 52.8% -> 53.0% shipped and 58.2% -> 58.5% weighted.

ROADMAP.md
- One progress-log entry (2026-10-13, newest first) and the banner line. It says
  the catalogs are 21 with the Lithuanian additions not natively reviewed, that
  the end-to-end redaction test of the Type3 layer needs the craft-fonts build
  input, and that recognize_text_makes_a_scanned_page_searchable still fails where
  the models are installed, as main's log already records.

docs/localization.md, docs/localization-parity.md
- The Lithuanian entry count (2,578 -> 2,668) and the counts of the other
  catalogs that carry entry counts are re-measured with the 90 new entries; the
  Lithuanian OCR entries are marked as not natively reviewed.

Checked: `cargo xtask parity` (numbers above, evidence tests exist) and
`cargo xtask assets` pass on this tree.

* M10.24: ocr: apply a late result only to the document it was read from

The Recognize Text dialog closes on Go, so the document can be edited, or have
text redacted, while a long run is still reading. The result was applied
without the stale check the tools and the Verify screen use, so words read
before a redaction could be written back as invisible text. The run now keeps
its guard and applies through the checked path.

Accept with the editable output in the Verify screen had the same gap (Exit
keeps the review open): it now refuses when the document changed since the
review started.

Both new tests fail with their guard switched off.

* M10.25: ocr: ocr_dictionary takes dictionary file names only

Updating sorts, lower-cases and rewrites the file it is given, so pointed at
.env or a README it would corrupt it. The tool now accepts only
ocr-dictionary-<language>.txt style names, for reading as well as writing.

The size-limit test used a file name the rule now refuses first, so it renamed
its fixture to keep testing the size limit. The new test fails with the rule
switched off.

* M10.26: pt-BR: keep (s) on the word counts and say mecanismo for engine

Two review fixes from a native speaker: the two word(s) lines had lost their
(s), so a count of 1 read as 1 palavras, and engine was translated both as
motor and mecanismo. Mecanismo is the Brazilian word for a software engine and
two lines already used it, so the other six now match.

* M10: fit the rebased OCR workflow to current main's structure

* Fix OCR workflow issues from the review

Honor the Recognize dialog's editable-output choice: its result opens in
the review screen (whose Accept writes the editable document) instead of
an invisible layer. Make page acceptance idempotent: a second Accept
entire page never appends the OCR layer twice and keeps later
corrections. Move page and region re-OCR onto a worker thread with a
status line and a cancel that discards the reading. Skip the Tesseract
probe for jobs that name their engines. Bound Tesseract's stderr while
the child runs, not only after it exits. Surface the editable output's
substitution notes in the tools' and the run's results.

Also repair the OCR batch tool against the current structure: inputs are
held to the read root again, and a batch whose inputs share an output
name is refused before the output folder is created, compared the way
the default filesystem compares names; and the editable writer test's
word stays inside the fixture's pages.

* Apply pre-review fixes to the OCR workflow

Hold the automation OCR tools to the document's copying permission, as
the other text tools are: the recognized text is left out of the
results when copying is forbidden, and the paths that carry the words
out of the document (the editable output, the review word list) are
refused. Mark the ocr_dictionary tool as overwriting its path. Close
the searchable layer's graphics state around its invisible text so the
rendering mode cannot leak into later content. Read the OCR user
dictionary folder from the portable data folder in portable mode, like
the recovery store does. Resolve the attribution manifest's leftover
conflict markers and regenerate the generated attribution. Describe the
review flow, the searchable layer's Type3 fonts and the parity evidence
references accurately, and drop an undeclared copy of the recovery
module.

* OCR: reject readings that exceed the word limit

Assisted-by: OpenAI Codex

* OCR: new documents go through the page tree builder main added

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* OCR: review notes and lints

The editable output refuses a file created during recognition. ocr_words takes
skip_text_pages and force_ocr. Automatic OCR checks the engine it will use. The
stderr test stays below the kill cap, and a failed --ocr-verify shot exits with
an error.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* OCR: restore the Verify screenshot attribution, follow the moved constants

The merge dropped the screenshot row with the translation rows. The model
filename constants live in ocrs.rs now, so the license check reads them there.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* Attribution: the Verify screenshot entry goes after the header comment

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* Attribution: the screenshot row in the table follows the manifest order

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

---------

Co-authored-by: eliets2 <287273517+eliets2@users.noreply.github.com>
Co-authored-by: FredApps <FredApps@users.noreply.github.com>
Co-authored-by: FredApps <153173854+FredApps@users.noreply.github.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
2026-11-05 23:39:55 +01:00

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//! pdfcraft-create — create PDFs from nothing, images or text (L4). See the README.
#![deny(clippy::unwrap_used, clippy::expect_used, clippy::panic, clippy::unimplemented, clippy::todo, clippy::unreachable)]
use pdfcraft_cos::{Dict, Document, ObjRef, Object, PdfString, Stream, serialize};
mod extract;
mod upright_image;
pub use extract::{ExtractedImage, ImageExport, extract_images, image_file, image_file_within};
use pdfcraft_fonts::{literal, win_ansi, wrap};
#[derive(Debug, thiserror::Error, PartialEq)]
pub enum CreateError {
#[error("{0}: {1}")]
Image(String, String),
#[error("{0}")]
Invalid(String),
}
/// US Letter in points.
pub const LETTER: (f64, f64) = (612.0, 792.0);
/// The largest page side PDF allows (ISO 32000-2 Annex C: 14 400 units).
const MAX_SIDE: f64 = 14_400.0;
/// The page tree of a document being made, with the pages added to it so far: its `/Kids` are
/// written once, by [`Pages::finish`]. Adding each page to the tree in the document would copy every
/// page before it, which a text of a million form feeds makes quadratic.
struct Pages {
tree: ObjRef,
kids: Vec<Object>,
}
impl Pages {
/// The page tree of `doc`, with the pages it has.
fn of(doc: &Document) -> Result<Self, CreateError> {
// `Document::new_empty` always has a page tree.
let tree = doc
.root()
.and_then(|r| doc.get(r).as_dict().and_then(|d| d.reference(b"Pages")))
.ok_or_else(|| CreateError::Invalid("the new document has no page tree".into()))?;
let kids = doc.get(tree).as_dict().and_then(|d| d.get(b"Kids")).and_then(|k| k.as_array().cloned()).unwrap_or_default();
Ok(Self { tree, kids })
}
fn add(&mut self, doc: &mut Document, w: f64, h: f64, resources: Dict, content: Option<Vec<u8>>) {
let mut page = Dict::new();
page.set(b"Type".to_vec(), Object::name("Page"));
page.set(b"Parent".to_vec(), Object::Ref(self.tree));
page.set(b"MediaBox".to_vec(), Object::Array(vec![0.into(), 0.into(), Object::Real(w), Object::Real(h)]));
page.set(b"Resources".to_vec(), Object::Dict(resources));
if let Some(c) = content {
let s = doc.add(Object::Stream(Stream::flate(Dict::new(), &c)));
page.set(b"Contents".to_vec(), Object::Ref(s));
}
self.kids.push(Object::Ref(doc.add(page)));
}
/// Writes the pages added into the tree.
fn finish(self, doc: &mut Document) -> Result<(), CreateError> {
let count = i64::try_from(self.kids.len()).map_err(|_| CreateError::Invalid("too many pages".into()))?;
doc.update_dict(self.tree, |d| {
d.set(b"Count".to_vec(), Object::Int(count));
d.set(b"Kids".to_vec(), Object::Array(self.kids));
})
.map_err(|e| CreateError::Invalid(e.to_string()))
}
}
fn set_title(doc: &mut Document, title: &str) {
let mut info = Dict::new();
info.set(b"Title".to_vec(), PdfString::text(title));
info.set(b"Producer".to_vec(), PdfString::text("PdfCraft"));
let r = doc.add(info);
doc.trailer_mut().set(b"Info".to_vec(), Object::Ref(r));
}
/// A document of `pages` empty pages of `width × height` points.
pub fn blank(width: f64, height: f64, pages: usize) -> Result<Document, CreateError> {
if !(width.is_finite() && height.is_finite() && (3.0..=MAX_SIDE).contains(&width) && (3.0..=MAX_SIDE).contains(&height))
|| pages == 0
|| pages > 10_000
{
return Err(CreateError::Invalid("invalid page size or count".into()));
}
let mut doc = Document::new_empty();
let mut tree = Pages::of(&doc)?;
for _ in 0..pages {
tree.add(&mut doc, width, height, Dict::new(), None);
}
tree.finish(&mut doc)?;
Ok(doc)
}
/// A document whose pages hold ready-made content: one `(width, height, resources, content)`
/// tuple per page, in page order. Empty content vectors make blank pages. The OCR Verify
/// screen's editable-text output builds its pages this way.
pub fn from_contents(pages: &[(f64, f64, Dict, Vec<u8>)]) -> Result<Document, CreateError> {
if pages.is_empty() || pages.len() > 10_000 {
return Err(CreateError::Invalid("invalid page count".into()));
}
if pages.iter().any(|(w, h, _, _)| !(w.is_finite() && h.is_finite() && (3.0..=MAX_SIDE).contains(w) && (3.0..=MAX_SIDE).contains(h))) {
return Err(CreateError::Invalid("invalid page size".into()));
}
let mut doc = Document::new_empty();
let mut tree = Pages::of(&doc)?;
for (w, h, resources, content) in pages {
let content = if content.is_empty() { None } else { Some(content.clone()) };
tree.add(&mut doc, *w, *h, resources.clone(), content);
}
tree.finish(&mut doc)?;
Ok(doc)
}
// ── images ──────────────────────────────────────────────────────────────────────────────────
/// An image ready to embed: its XObject dictionary, encoded data, optional soft mask, the ICC
/// profile the file carried (checked against the colour space by `icc_for`), and size in pixels
/// and dots per inch.
struct Embedded {
dict: Dict,
data: Vec<u8>,
filtered: bool,
smask: Option<(Dict, Vec<u8>)>,
icc: Option<Vec<u8>>,
px: (u32, u32),
dpi: (f64, f64),
}
/// `profile` when it can tag an image of `n` colour components: an ICC header (`acsp`) whose
/// colour space is grey, RGB or CMYK to match. Anything else is left out, and the image keeps
/// its device colour space.
fn icc_for(profile: Vec<u8>, n: usize) -> Option<Vec<u8>> {
let space: &[u8] = match n {
1 => b"GRAY",
3 => b"RGB ",
4 => b"CMYK",
_ => return None,
};
(profile.len() >= 128 && profile.get(36..40) == Some(b"acsp") && profile.get(16..20) == Some(space)).then_some(profile)
}
/// A JPEG's ICC profile from its APP2 `ICC_PROFILE` chunks: (sequence number, chunk count,
/// data). `None` unless every chunk from 1 to the count is there exactly once.
fn jpeg_icc(mut chunks: Vec<(u8, u8, &[u8])>) -> Option<Vec<u8>> {
let count = chunks.first()?.1;
chunks.sort_by_key(|c| c.0);
let complete = usize::from(count) == chunks.len() && chunks.iter().zip(1..=count).all(|(c, seq)| c.0 == seq && c.1 == count);
complete.then(|| chunks.iter().flat_map(|c| c.2.iter().copied()).collect())
}
/// The samples of a black-and-white image packed one bit per pixel (1 for white, each row
/// starting on a byte): eight-bit grey (`n` 1) or RGB (`n` 3) whose every pixel is pure black or
/// pure white, or one-bit grey, already packed (a bilevel TIFF). `None` for anything else, found
/// at its first other pixel.
fn bilevel(data: &[u8], (w, h): (u32, u32), n: usize, bits: Option<i64>) -> Option<Vec<u8>> {
let (w, h) = (usize::try_from(w).ok()?, usize::try_from(h).ok()?);
let stride = w.div_ceil(8);
let size = stride.checked_mul(h)?;
match (bits, n) {
(Some(1), 1) => data.get(..size).map(<[u8]>::to_vec),
(Some(8), 1 | 3) if w > 0 => {
let samples = data.get(..w.checked_mul(h)?.checked_mul(n)?)?;
let mut packed = vec![0u8; size];
for (i, px) in samples.chunks_exact(n).enumerate() {
let white = match px {
[0] | [0, 0, 0] => false,
[255] | [255, 255, 255] => true,
_ => return None,
};
if white && let Some(b) = packed.get_mut((i / w) * stride + (i % w) / 8) {
*b |= 0x80 >> (i % w % 8);
}
}
Some(packed)
}
_ => None,
}
}
/// Add `img` to `doc` as an image XObject. An ICC profile becomes an `/ICCBased` colour space
/// (with the device space as `/Alternate`); `profiles` shares one object between images that
/// carry the same profile.
///
/// A black-and-white image is stored at one bit per pixel, as CCITT Group 4 when that is smaller
/// than Flate: losslessly, and several times smaller than the eight bits a scan saved as a 1-bit
/// PNG decodes to. RGB keeps its colour space when it has a colour profile.
fn add_image(doc: &mut Document, img: Embedded, profiles: &mut Vec<(Vec<u8>, ObjRef)>) -> ObjRef {
let mut d = img.dict;
d.set(b"Type".to_vec(), Object::name("XObject"));
d.set(b"Subtype".to_vec(), Object::name("Image"));
d.set(b"Width".to_vec(), Object::Int(img.px.0 as i64));
d.set(b"Height".to_vec(), Object::Int(img.px.1 as i64));
let device = d.name(b"ColorSpace").map(<[u8]>::to_vec);
let mut n = match device.as_deref() {
Some(b"DeviceGray") => 1,
Some(b"DeviceRGB") => 3,
Some(b"DeviceCMYK") => 4,
_ => 0,
};
let (mut data, mut filtered) = (img.data, img.filtered);
let profiled_rgb = n == 3 && img.icc.is_some();
if !filtered
&& !profiled_rgb
&& let Some(packed) = bilevel(&data, img.px, n, d.int(b"BitsPerComponent"))
{
if n == 3 {
d.set(b"ColorSpace".to_vec(), Object::name("DeviceGray"));
n = 1;
}
d.set(b"BitsPerComponent".to_vec(), Object::Int(1));
// The smaller as stored, dictionary included: Group 4's parameters outweigh its saving on
// a tiny image.
let stored = |d: &Dict, data: &[u8]| {
let mut out = Vec::new();
serialize(&Object::Dict(d.clone()), &mut out);
out.len().saturating_add(data.len())
};
let mut flate_dict = d.clone();
flate_dict.set(b"Filter".to_vec(), Object::name("FlateDecode"));
let flate = pdfcraft_filters::encode_flate(&packed);
(d, data) = match pdfcraft_filters::encode_g4(&packed, img.px.0, img.px.1) {
Ok(g4) => {
let mut parms = Dict::new();
parms.set(b"K".to_vec(), Object::Int(-1));
parms.set(b"Columns".to_vec(), Object::Int(i64::from(img.px.0)));
parms.set(b"Rows".to_vec(), Object::Int(i64::from(img.px.1)));
let mut g4_dict = d.clone();
g4_dict.set(b"Filter".to_vec(), Object::name("CCITTFaxDecode"));
g4_dict.set(b"DecodeParms".to_vec(), Object::Dict(parms));
if stored(&g4_dict, &g4) < stored(&flate_dict, &flate) { (g4_dict, g4) } else { (flate_dict, flate) }
}
Err(_) => (flate_dict, flate),
};
filtered = true;
}
if let (Some(icc), Some(device)) = (img.icc.and_then(|p| icc_for(p, n)), device) {
let r = match profiles.iter().find(|(p, _)| *p == icc) {
Some((_, r)) => *r,
None => {
let mut pd = Dict::new();
pd.set(b"N".to_vec(), Object::Int(n as i64));
pd.set(b"Alternate".to_vec(), Object::Name(device));
let r = doc.add(Object::Stream(Stream::flate(pd, &icc)));
profiles.push((icc, r));
r
}
};
d.set(b"ColorSpace".to_vec(), Object::Array(vec![Object::name("ICCBased"), Object::Ref(r)]));
}
if let Some((m, alpha)) = img.smask {
let mr = doc.add(Object::Stream(Stream::flate(m, &alpha)));
d.set(b"SMask".to_vec(), Object::Ref(mr));
}
let stream = if filtered { Stream::from_raw(d, data) } else { Stream::flate(d, &data) };
doc.add(Object::Stream(stream))
}
const JP2_SIGNATURE: &[u8] = &[0, 0, 0, 0x0C, b'j', b'P', b' ', b' ', 0x0D, 0x0A, 0x87, 0x0A];
fn be32(b: &[u8], at: usize) -> Option<u32> {
b.get(at..at + 4).map(|x| u32::from_be_bytes([x[0], x[1], x[2], x[3]]))
}
fn be16(b: &[u8], at: usize) -> Option<u16> {
b.get(at..at + 2).map(|x| u16::from_be_bytes([x[0], x[1]]))
}
/// The boxes of a JP2 box sequence: (type, payload).
fn jp2_boxes(b: &[u8]) -> Vec<([u8; 4], &[u8])> {
let mut out = Vec::new();
let mut i = 0usize;
while i + 8 <= b.len() {
let len = be32(b, i).unwrap_or(0) as u64;
let ty = [b[i + 4], b[i + 5], b[i + 6], b[i + 7]];
let (head, len) = match len {
0 => (8, (b.len() - i) as u64),
1 => match b.get(i + 8..i + 16) {
Some(x) => (16, u64::from_be_bytes([x[0], x[1], x[2], x[3], x[4], x[5], x[6], x[7]])),
None => break,
},
n => (8, n),
};
let end = i.saturating_add(len as usize).min(b.len());
if len < head as u64 || end <= i {
break;
}
out.push((ty, &b[i + head..end]));
i = end;
}
out
}
/// A JPEG 2000 image (JP2 file or raw codestream), embedded as is (`/JPXDecode`; the colour
/// space comes from the file).
fn jpx(name: &str, bytes: &[u8]) -> Result<Embedded, CreateError> {
let bad = |m: &str| CreateError::Image(name.into(), m.into());
let mut dpi = (72.0, 72.0);
let (w, h) = if bytes.starts_with(JP2_SIGNATURE) {
let header =
jp2_boxes(bytes).into_iter().find(|(t, _)| t == b"jp2h").map(|(_, p)| p).ok_or_else(|| bad("a JPEG 2000 file without a header"))?;
let inner = jp2_boxes(header);
let ihdr = inner.iter().find(|(t, _)| t == b"ihdr").map(|(_, p)| *p).ok_or_else(|| bad("a JPEG 2000 file without image size"))?;
// Capture resolution (pixels per metre), when given.
if let Some((_, res)) = inner.iter().find(|(t, _)| t == b"res ")
&& let Some((_, r)) = jp2_boxes(res).into_iter().find(|(t, _)| t == b"resc" || t == b"resd")
&& r.len() >= 10
{
let part = |n: u16, d: u16, e: i8| if d == 0 { 0.0 } else { n as f64 / d as f64 * 10f64.powi(e as i32) * 0.0254 };
let (v, hz) = (
part(be16(r, 0).unwrap_or(0), be16(r, 2).unwrap_or(0), r[8] as i8),
part(be16(r, 4).unwrap_or(0), be16(r, 6).unwrap_or(0), r[9] as i8),
);
if v > 1.0 && hz > 1.0 {
dpi = (hz, v);
}
}
(be32(ihdr, 4).ok_or_else(|| bad("bad image header"))?, be32(ihdr, 0).ok_or_else(|| bad("bad image header"))?)
} else {
// SIZ: Lsiz Rsiz Xsiz Ysiz XOsiz YOsiz …
let (x, y, xo, yo) = (be32(bytes, 8), be32(bytes, 12), be32(bytes, 16), be32(bytes, 20));
match (x, y, xo, yo) {
(Some(x), Some(y), Some(xo), Some(yo)) if x > xo && y > yo => (x - xo, y - yo),
_ => return Err(bad("a damaged JPEG 2000 codestream")),
}
};
if w == 0 || h == 0 || w > 100_000 || h > 100_000 {
return Err(bad("unusual JPEG 2000 image size"));
}
let mut d = Dict::new();
d.set(b"Filter".to_vec(), Object::name("JPXDecode"));
Ok(Embedded { dict: d, data: bytes.to_vec(), filtered: true, smask: None, icc: None, px: (w, h), dpi })
}
fn jpeg(name: &str, bytes: &[u8]) -> Result<Embedded, CreateError> {
let bad = |m: &str| CreateError::Image(name.into(), m.into());
if bytes.len() < 4 || bytes[0] != 0xFF || bytes[1] != 0xD8 {
return Err(bad("not a JPEG file"));
}
let (mut i, mut size, mut comps, mut dpi, mut adobe) = (2usize, None, 0u8, (72.0, 72.0), false);
let mut icc_chunks = Vec::new();
while let Some(&byte) = bytes.get(i) {
if byte != 0xFF {
i += 1;
continue;
}
i += 1;
// Markers may be preceded by any number of 0xFF fill bytes.
while bytes.get(i) == Some(&0xFF) {
i += 1;
}
let marker = *bytes.get(i).ok_or_else(|| bad("truncated JPEG marker"))?;
i += 1;
// Metadata ends at the first scan; entropy-coded bytes are not segments.
if marker == 0xDA || marker == 0xD9 {
break;
}
if marker == 0xD8 || marker == 0x01 || (0xD0..=0xD7).contains(&marker) {
continue;
}
let len = usize::from(be16(bytes, i).ok_or_else(|| bad("truncated JPEG segment length"))?);
if len < 2 {
return Err(bad("invalid JPEG segment length"));
}
let end = i.checked_add(len).ok_or_else(|| bad("JPEG segment length overflow"))?;
let seg = bytes.get(i + 2..end).ok_or_else(|| bad("truncated JPEG segment"))?;
match marker {
// APP0 JFIF density.
0xE0 if seg.starts_with(b"JFIF\0") && seg.len() >= 12 => {
let (unit, x, y) = (seg[7], u16::from_be_bytes([seg[8], seg[9]]) as f64, u16::from_be_bytes([seg[10], seg[11]]) as f64);
if x > 0.0 && y > 0.0 {
dpi = match unit {
1 => (x, y),
2 => (x * 2.54, y * 2.54),
_ => dpi,
};
}
}
0xEE if seg.starts_with(b"Adobe") => adobe = true,
// APP2 ICC profile, possibly split over several chunks.
0xE2 => {
if let Some(([seq, count], data)) = seg.strip_prefix(b"ICC_PROFILE\0").and_then(<[u8]>::split_first_chunk::<2>) {
icc_chunks.push((*seq, *count, data));
}
}
0xC0..=0xCF if marker != 0xC4 && marker != 0xC8 && marker != 0xCC && size.is_none() => {
if seg.len() < 6 {
return Err(bad("bad frame header"));
}
size = Some((u16::from_be_bytes([seg[3], seg[4]]) as u32, u16::from_be_bytes([seg[1], seg[2]]) as u32));
comps = seg[5];
}
_ => {}
}
i = end;
}
let (w, h) = size.filter(|(w, h)| *w > 0 && *h > 0).ok_or_else(|| bad("no image size"))?;
let mut d = Dict::new();
let cs = match comps {
1 => "DeviceGray",
3 => "DeviceRGB",
4 => {
if adobe {
// Adobe writes CMYK JPEGs inverted.
d.set(b"Decode".to_vec(), Object::Array([1, 0, 1, 0, 1, 0, 1, 0].iter().map(|v| Object::Int(*v)).collect()));
}
"DeviceCMYK"
}
n => return Err(bad(&format!("{n} colour components are not supported"))),
};
d.set(b"ColorSpace".to_vec(), Object::name(cs));
d.set(b"BitsPerComponent".to_vec(), Object::Int(8));
d.set(b"Filter".to_vec(), Object::name("DCTDecode"));
let icc = jpeg_icc(icc_chunks);
Ok(Embedded { dict: d, data: bytes.to_vec(), filtered: true, smask: None, icc, px: (w, h), dpi })
}
fn png_image(name: &str, bytes: &[u8]) -> Result<Embedded, CreateError> {
let bad = |m: String| CreateError::Image(name.into(), m);
let mut dec = png::Decoder::new(std::io::Cursor::new(bytes));
dec.set_transformations(png::Transformations::EXPAND | png::Transformations::STRIP_16);
let mut reader = dec.read_info().map_err(|e| bad(e.to_string()))?;
let dpi = match reader.info().pixel_dims {
Some(png::PixelDimensions { xppu, yppu, unit: png::Unit::Meter }) if xppu > 0 && yppu > 0 => (xppu as f64 * 0.0254, yppu as f64 * 0.0254),
_ => (72.0, 72.0),
};
let icc = reader.info().icc_profile.as_ref().map(|p| p.to_vec());
// The decoded size comes from the header alone, so a file of a few bytes can claim any
// size: keep the ceiling, and ask for the memory fallibly (a failed allocation would abort
// the whole app, and no `catch_unwind` stops that).
let size = reader.output_buffer_size().filter(|n| *n <= MAX_DECODED_BYTES).ok_or_else(|| bad("image too large".into()))?;
let mut buf = Vec::new();
buf.try_reserve_exact(size).map_err(|_| bad("not enough memory for this image".into()))?;
buf.resize(size, 0);
let frame = reader.next_frame(&mut buf).map_err(|e| bad(e.to_string()))?;
let (w, h) = (frame.width, frame.height);
let data = &buf[..frame.buffer_size()];
let (channels, cs) = match frame.color_type {
png::ColorType::Grayscale => (1, "DeviceGray"),
png::ColorType::GrayscaleAlpha => (2, "DeviceGray"),
png::ColorType::Rgb => (3, "DeviceRGB"),
png::ColorType::Rgba => (4, "DeviceRGB"),
png::ColorType::Indexed => return Err(bad("unexpected palette output".into())),
};
let has_alpha = channels == 2 || channels == 4;
let colour_n = if has_alpha { channels - 1 } else { channels };
let mut colour = Vec::new();
colour
.try_reserve_exact((w as usize).saturating_mul(h as usize).saturating_mul(colour_n))
.map_err(|_| bad("not enough memory for this image".into()))?;
let mut alpha = Vec::new();
if has_alpha {
alpha.try_reserve_exact((w as usize).saturating_mul(h as usize)).map_err(|_| bad("not enough memory for this image".into()))?;
}
for px in data.chunks_exact(channels) {
colour.extend_from_slice(&px[..colour_n]);
if has_alpha {
alpha.push(px[colour_n]);
}
}
let mut d = Dict::new();
d.set(b"ColorSpace".to_vec(), Object::name(cs));
d.set(b"BitsPerComponent".to_vec(), Object::Int(8));
let smask = (has_alpha && alpha.iter().any(|a| *a != 255)).then(|| {
let mut m = Dict::new();
m.set(b"Type".to_vec(), Object::name("XObject"));
m.set(b"Subtype".to_vec(), Object::name("Image"));
m.set(b"Width".to_vec(), Object::Int(w as i64));
m.set(b"Height".to_vec(), Object::Int(h as i64));
m.set(b"ColorSpace".to_vec(), Object::name("DeviceGray"));
m.set(b"BitsPerComponent".to_vec(), Object::Int(8));
(m, alpha)
});
Ok(Embedded { dict: d, data: colour, filtered: false, smask, icc, px: (w, h), dpi })
}
/// 8-bit RGBA pixels → an image (gray when every pixel is, with a soft mask when any pixel is
/// not opaque).
fn rgba_image(rgba: &[u8], (w, h): (u32, u32), dpi: (f64, f64)) -> Embedded {
let gray = rgba.as_chunks::<4>().0.iter().all(|p| p[0] == p[1] && p[1] == p[2]);
let opaque = rgba.as_chunks::<4>().0.iter().all(|p| p[3] == 255);
let colour: Vec<u8> = if gray {
rgba.as_chunks::<4>().0.iter().map(|p| p[0]).collect()
} else {
rgba.as_chunks::<4>().0.iter().flat_map(|p| [p[0], p[1], p[2]]).collect()
};
let mut d = Dict::new();
d.set(b"ColorSpace".to_vec(), Object::name(if gray { "DeviceGray" } else { "DeviceRGB" }));
d.set(b"BitsPerComponent".to_vec(), Object::Int(8));
let smask = (!opaque).then(|| {
let mut m = Dict::new();
m.set(b"Type".to_vec(), Object::name("XObject"));
m.set(b"Subtype".to_vec(), Object::name("Image"));
m.set(b"Width".to_vec(), Object::Int(w as i64));
m.set(b"Height".to_vec(), Object::Int(h as i64));
m.set(b"ColorSpace".to_vec(), Object::name("DeviceGray"));
m.set(b"BitsPerComponent".to_vec(), Object::Int(8));
(m, rgba.as_chunks::<4>().0.iter().map(|p| p[3]).collect())
});
Embedded { dict: d, data: colour, filtered: false, smask, icc: None, px: (w, h), dpi }
}
/// BMP and GIF (the first frame), through the `image` decoders. Their resolution is not read:
/// 72 dpi, as for images without one.
fn decoded(name: &str, bytes: &[u8], format: image::ImageFormat) -> Result<Embedded, CreateError> {
// A GIF's first frame is painted on a canvas the size of its logical screen, however small
// the frame: a few bytes can ask for hundreds of MB.
if format == image::ImageFormat::Gif
&& let Some(&[w0, w1, h0, h1]) = bytes.get(6..10)
&& u64::from(u16::from_le_bytes([w0, w1])) * u64::from(u16::from_le_bytes([h0, h1])) > MAX_GIF_PIXELS
{
return Err(CreateError::Image(name.into(), "the GIF's screen is larger than 4096×4096 pixels".into()));
}
let img = image::load_from_memory_with_format(bytes, format).map_err(|e| CreateError::Image(name.into(), e.to_string()))?;
let rgba = img.into_rgba8();
Ok(rgba_image(rgba.as_raw(), rgba.dimensions(), (72.0, 72.0)))
}
/// Largest GIF logical screen, in pixels (4096×4096).
const MAX_GIF_PIXELS: u64 = 1 << 24;
/// Most decoded bytes one TIFF page or PNG may take: room for the 768 MiB CMYK poster in #665,
/// twice over.
const MAX_DECODED_BYTES: usize = 2 << 30;
/// Most decoded bytes all the pages of one TIFF may take together: its pages stay in memory until
/// they are embedded, and many small directories can share one compressed strip. Saturates to the
/// whole address space on 32-bit targets (wasm32), where 4 GiB doesn't fit in `usize`.
const MAX_DECODED_TOTAL: usize = MAX_DECODED_BYTES.saturating_mul(2);
/// The first `wanted` pages of a TIFF (multi-page scans become multi-page PDFs).
fn tiff_pages(name: &str, bytes: &[u8], wanted: usize) -> Result<Vec<Embedded>, CreateError> {
tiff_pages_within(name, bytes, wanted, MAX_DECODED_TOTAL)
}
/// [`tiff_pages`], refused once the pages kept take more than `budget` bytes.
fn tiff_pages_within(name: &str, bytes: &[u8], wanted: usize, budget: usize) -> Result<Vec<Embedded>, CreateError> {
use tiff::ColorType as C;
use tiff::decoder::{Decoder, DecodingResult, Limits};
use tiff::tags::Tag;
let bad = |m: String| CreateError::Image(name.into(), m);
// The tiff crate stops at 256 MiB of decoded pixels, below an ordinary poster scan (#665):
// 12000x16000 CMYK is 768 MiB. Raise it, but keep a ceiling so a tiny file claiming
// enormous dimensions can't ask for unbounded memory.
let mut limits = Limits::default();
limits.decoding_buffer_size = MAX_DECODED_BYTES;
let mut dec = Decoder::new(std::io::Cursor::new(bytes)).map_err(|e| bad(e.to_string()))?.with_limits(limits);
let mut out = Vec::new();
let mut kept = 0usize;
loop {
let (w, h) = dec.dimensions().map_err(|e| bad(e.to_string()))?;
let ct = dec.colortype().map_err(|e| bad(e.to_string()))?;
let unit = dec.get_tag_u32(Tag::ResolutionUnit).unwrap_or(2);
let res = |t: Tag, dec: &mut Decoder<std::io::Cursor<&[u8]>>| -> f64 {
// Resolutions are rationals.
let v = match dec.get_tag(t) {
Ok(tiff::decoder::ifd::Value::Rational(n, d)) if d != 0 => f64::from(n) / f64::from(d),
Ok(other) => other.into_f64().unwrap_or(72.0),
Err(_) => 72.0,
};
let v = if unit == 3 { v * 2.54 } else { v };
if v.is_finite() && v >= 1.0 { v } else { 72.0 }
};
let dpi = (res(Tag::XResolution, &mut dec), res(Tag::YResolution, &mut dec));
let data = match dec.read_image().map_err(|e| bad(e.to_string()))? {
DecodingResult::U8(v) => v,
// 16-bit samples: keep the high byte.
DecodingResult::U16(v) => v.iter().map(|x| (x >> 8) as u8).collect(),
_ => return Err(bad("this TIFF sample format isn't supported".into())),
};
let page = match ct {
C::Gray(1) => {
// Bilevel scans stay 1 bit per pixel (0 = black after the decoder's inversion).
let mut d = Dict::new();
d.set(b"ColorSpace".to_vec(), Object::name("DeviceGray"));
d.set(b"BitsPerComponent".to_vec(), Object::Int(1));
Embedded { dict: d, data, filtered: false, smask: None, icc: None, px: (w, h), dpi }
}
C::Gray(8 | 16) => {
let mut d = Dict::new();
d.set(b"ColorSpace".to_vec(), Object::name("DeviceGray"));
d.set(b"BitsPerComponent".to_vec(), Object::Int(8));
Embedded { dict: d, data, filtered: false, smask: None, icc: None, px: (w, h), dpi }
}
C::RGB(8 | 16) => {
let mut d = Dict::new();
d.set(b"ColorSpace".to_vec(), Object::name("DeviceRGB"));
d.set(b"BitsPerComponent".to_vec(), Object::Int(8));
Embedded { dict: d, data, filtered: false, smask: None, icc: None, px: (w, h), dpi }
}
C::CMYK(8 | 16) => {
let mut d = Dict::new();
d.set(b"ColorSpace".to_vec(), Object::name("DeviceCMYK"));
d.set(b"BitsPerComponent".to_vec(), Object::Int(8));
Embedded { dict: d, data, filtered: false, smask: None, icc: None, px: (w, h), dpi }
}
C::RGBA(8 | 16) => rgba_image(&data, (w, h), dpi),
C::GrayA(8 | 16) => {
let rgba: Vec<u8> = data.as_chunks::<2>().0.iter().flat_map(|p| [p[0], p[0], p[0], p[1]]).collect();
rgba_image(&rgba, (w, h), dpi)
}
other => return Err(bad(format!("{other:?} TIFF images aren't supported yet"))),
};
kept = kept.saturating_add(page.data.len()).saturating_add(page.smask.as_ref().map_or(0, |(_, alpha)| alpha.len()));
if kept > budget {
return Err(bad(format!("the TIFF's pages take more than {} MiB together", budget >> 20)));
}
out.push(page);
if out.len() >= wanted || !dec.more_images() {
break;
}
dec.next_image().map_err(|e| bad(e.to_string()))?;
}
Ok(out)
}
/// What a file picked for Create is, by its bytes (and, for text, its name).
#[derive(Clone, Copy, Debug, PartialEq, Eq)]
pub enum SourceKind {
Pdf,
Image,
Text,
}
/// File extensions Create converts to PDF (images and plain text).
pub const CONVERTIBLE: [&str; 12] = ["png", "jpg", "jpeg", "tif", "tiff", "gif", "bmp", "jp2", "j2k", "jpx", "txt", "text"];
/// A classic TIFF or a BigTIFF (version 43), in either byte order.
fn is_tiff(bytes: &[u8]) -> bool {
[b"II*\0", b"MM\0*", b"II+\0", b"MM\0+"].iter().any(|m| bytes.starts_with(*m))
}
/// The GIF headers `embed` decodes, so detection and conversion agree.
fn is_gif(bytes: &[u8]) -> bool {
bytes.starts_with(b"GIF87a") || bytes.starts_with(b"GIF89a")
}
fn is_image(bytes: &[u8]) -> bool {
bytes.starts_with(&[0xFF, 0xD8])
|| bytes.starts_with(b"\x89PNG\r\n\x1a\n")
|| is_tiff(bytes)
|| is_gif(bytes)
// JPEG 2000: a JP2 file or a raw codestream.
|| bytes.starts_with(JP2_SIGNATURE)
|| bytes.starts_with(&[0xFF, 0x4F, 0xFF, 0x51])
// BMP: "BM" and a known header size (so text starting with "BM" stays text).
|| (bytes.starts_with(b"BM")
&& bytes.get(14..18).and_then(|h| <[u8; 4]>::try_from(h).ok()).is_some_and(|h| matches!(u32::from_le_bytes(h), 12 | 40 | 52 | 56 | 108 | 124)))
}
/// Whether `bytes` named `name` is a PDF, an image Create can embed, or plain text (a `.txt` or
/// `.text` file). `None` for anything else.
pub fn source_kind(name: &str, bytes: &[u8]) -> Option<SourceKind> {
let head = bytes.get(..bytes.len().min(1024)).unwrap_or_default();
if head.windows(5).any(|w| w == b"%PDF-") {
return Some(SourceKind::Pdf);
}
if is_image(bytes) {
return Some(SourceKind::Image);
}
let lower = name.to_ascii_lowercase();
(lower.ends_with(".txt") || lower.ends_with(".text")).then_some(SourceKind::Text)
}
/// Detect the image format from its bytes; a TIFF may hold several pages, of which the first
/// `wanted` are read.
fn embed(name: &str, bytes: &[u8], wanted: usize) -> Result<Vec<Embedded>, CreateError> {
if bytes.starts_with(&[0xFF, 0xD8]) {
Ok(vec![jpeg(name, &upright_image::upright(bytes))?])
} else if bytes.starts_with(b"\x89PNG\r\n\x1a\n") {
Ok(vec![png_image(name, bytes)?])
} else if is_tiff(bytes) {
tiff_pages(name, bytes, wanted)
} else if bytes.starts_with(b"BM") {
Ok(vec![decoded(name, &pdfcraft_xfa::image::bmp_with_pixel_offset(bytes), image::ImageFormat::Bmp)?])
} else if is_gif(bytes) {
Ok(vec![decoded(name, bytes, image::ImageFormat::Gif)?])
} else if bytes.starts_with(JP2_SIGNATURE) || bytes.starts_with(&[0xFF, 0x4F, 0xFF, 0x51]) {
Ok(vec![jpx(name, bytes)?])
} else {
Err(CreateError::Image(name.into(), "use a PNG, JPEG, JPEG 2000, TIFF, GIF or BMP image".into()))
}
}
/// Embed an image file (its first page, for TIFFs) as an image XObject in `doc`. Returns the
/// object and the image's natural size in points (from its resolution).
pub fn image_xobject(doc: &mut Document, name: &str, bytes: &[u8]) -> Result<(ObjRef, (f64, f64)), CreateError> {
let img = embed(name, bytes, 1)?.into_iter().next().ok_or_else(|| CreateError::Image(name.into(), "the file has no image".into()))?;
let size = (img.px.0 as f64 * 72.0 / img.dpi.0, img.px.1 as f64 * 72.0 / img.dpi.1);
Ok((add_image(doc, img, &mut Vec::new()), size))
}
/// Resolution used to size PDF pages. Image pixels are never resampled.
#[derive(Clone, Copy, Debug, Default, PartialEq)]
pub enum ImageResolution {
/// Embedded resolution, falling back to 72 dpi when absent.
#[default]
Embedded,
/// Override both axes with a finite resolution between 1 and 1200 dpi.
Dpi(f64),
}
/// One page per image, each the size of its image at the image's resolution.
pub fn from_images(images: &[(String, Vec<u8>)]) -> Result<Document, CreateError> {
from_images_with_resolution(images, ImageResolution::Embedded)
}
/// Create image pages with embedded resolution or a fixed dpi (72 gives one point per pixel).
pub fn from_images_with_resolution(images: &[(String, Vec<u8>)], resolution: ImageResolution) -> Result<Document, CreateError> {
if let ImageResolution::Dpi(dpi) = resolution
&& (!dpi.is_finite() || !(1.0..=1200.0).contains(&dpi))
{
return Err(CreateError::Invalid("image DPI must be finite and between 1 and 1200".into()));
}
if images.is_empty() {
return Err(CreateError::Invalid("no images".into()));
}
let mut doc = Document::new_empty();
let mut tree = Pages::of(&doc)?;
let mut profiles = Vec::new();
for img in images.iter().map(|(name, bytes)| embed(name, bytes, usize::MAX)).collect::<Result<Vec<_>, _>>()?.into_iter().flatten() {
let dpi = match resolution {
ImageResolution::Embedded => img.dpi,
ImageResolution::Dpi(dpi) => (dpi, dpi),
};
let (mut w, mut h) = (img.px.0 as f64 * 72.0 / dpi.0, img.px.1 as f64 * 72.0 / dpi.1);
// Keep huge images within the largest page PDF allows.
let k = (MAX_SIDE / w.max(h)).min(1.0);
w *= k;
h *= k;
let xr = add_image(&mut doc, img, &mut profiles);
let mut xobj = Dict::new();
xobj.set(b"Im0".to_vec(), Object::Ref(xr));
let mut res = Dict::new();
res.set(b"XObject".to_vec(), Object::Dict(xobj));
let content = format!("q {w:.3} 0 0 {h:.3} 0 0 cm /Im0 Do Q\n").into_bytes();
tree.add(&mut doc, w, h, res, Some(content));
}
tree.finish(&mut doc)?;
if let Some((name, _)) = images.first() {
set_title(&mut doc, name.rsplit_once('.').map_or(name.as_str(), |(s, _)| s));
}
Ok(doc)
}
// ── text ────────────────────────────────────────────────────────────────────────────────────
/// The text of a plain-text file. A byte order mark picks UTF-8 or UTF-16 (little or big
/// endian) and is dropped; without one the bytes are UTF-8 when they are valid UTF-8, and
/// otherwise the Windows code page they most likely are: 1254 (Turkish) or 1252 (Western).
pub fn decode_text(bytes: &[u8]) -> String {
if let Some((encoding, bom)) = encoding_rs::Encoding::for_bom(bytes) {
return encoding.decode_without_bom_handling(bytes.get(bom..).unwrap_or_default()).0.into_owned();
}
if let Ok(text) = std::str::from_utf8(bytes) {
return text.to_string();
}
let encoding = if turkish_code_page(bytes) { encoding_rs::WINDOWS_1254 } else { encoding_rs::WINDOWS_1252 };
encoding.decode_without_bom_handling(bytes).0.into_owned()
}
/// Windows-1254 and 1252 differ only in six bytes: Ğ İ Ş ğ ı ş in 1254 are Ð Ý Þ ð ý þ in 1252.
/// Of the Western languages only Icelandic and Faroese use those, and both also write á í ó ú,
/// which Turkish never does.
fn turkish_code_page(bytes: &[u8]) -> bool {
bytes.iter().any(|b| matches!(b, 0xD0 | 0xDD | 0xDE | 0xF0 | 0xFD | 0xFE))
&& !bytes.iter().any(|b| matches!(b, 0xC1 | 0xCD | 0xD3 | 0xDA | 0xE1 | 0xED | 0xF3 | 0xFA))
}
/// Plain text set in Helvetica on pages of `page` size with 1-inch margins. Text Helvetica can't
/// draw (outside Western European) is refused with [`CreateError::Invalid`] naming the line and
/// the character; text PdfCraft generates goes through [`from_text_escaped`] instead.
pub fn from_text(title: &str, text: &str, page: (f64, f64), font_size: f64) -> Result<Document, CreateError> {
// Helvetica in WinAnsiEncoding: text it can't draw is refused with where it is, not set as `?`.
if let Some((line, c)) = first_undrawable_line(text) {
return Err(CreateError::Invalid(pdfcraft_fonts::undrawable_message(&format!("the text (line {line})"), c)));
}
set_text(title, text, page, font_size)
}
/// The line (1-based) and character of the first one Helvetica can't draw. Line breaks, tabs and
/// form feeds (new pages) are layout, not drawn.
fn first_undrawable_line(text: &str) -> Option<(usize, char)> {
text.split('\n').enumerate().find_map(|(i, l)| pdfcraft_fonts::first_undrawable(&l.replace('\u{c}', "")).map(|c| (i + 1, c)))
}
/// What a PDF made from text PdfCraft generated says, in its first line, about characters it
/// wrote as `[U+XXXX]`.
pub const ESCAPED_NOTE: &str = "Characters Helvetica can't draw are written as [U+XXXX] code points.";
/// [`from_text`] for text PdfCraft generates from documents (a comment summary, a compare
/// report), which may quote any language. Each character Helvetica can't draw is written as
/// `[U+XXXX]` instead of being refused or set as `?`, so nothing is lost, and the first line says
/// so ([`ESCAPED_NOTE`]). Returns the document and how many characters were written that way.
pub fn from_text_escaped(title: &str, text: &str, page: (f64, f64), font_size: f64) -> Result<(Document, usize), CreateError> {
let mut escaped = 0usize;
let mut out = String::with_capacity(text.len());
for c in text.chars() {
if matches!(c, '\n' | '\r' | '\u{c}') || pdfcraft_fonts::first_undrawable(c.encode_utf8(&mut [0; 4])).is_none() {
out.push(c);
} else {
escaped = escaped.saturating_add(1);
out.push_str(&format!("[U+{:04X}]", u32::from(c)));
}
}
if escaped > 0 {
out = format!("{ESCAPED_NOTE}\n\n{out}");
}
// The title is a text string in /Info, which holds any character.
Ok((set_text(title, &out, page, font_size)?, escaped))
}
fn set_text(title: &str, text: &str, page: (f64, f64), font_size: f64) -> Result<Document, CreateError> {
let size = if font_size.is_finite() && font_size > 0.0 { font_size.clamp(4.0, 72.0) } else { 11.0 };
let (w, h) = page;
let margin = 72.0;
let line_h = size * 1.25;
let width = (w - 2.0 * margin).max(36.0);
let lines: Vec<String> = text
.replace("\r\n", "\n")
.replace('\t', " ")
.split('\u{c}')
.flat_map(|p| wrap(p, size, width).into_iter().chain(std::iter::once("\u{c}".to_string())))
.collect();
let per_page = (((h - 2.0 * margin) / line_h).floor() as usize).max(1);
let mut doc = Document::new_empty();
let mut font = Dict::new();
font.set(b"Type".to_vec(), Object::name("Font"));
font.set(b"Subtype".to_vec(), Object::name("Type1"));
font.set(b"BaseFont".to_vec(), Object::name("Helvetica"));
font.set(b"Encoding".to_vec(), Object::name("WinAnsiEncoding"));
let fr = doc.add(font);
let mut tree = Pages::of(&doc)?;
let mut page_lines: Vec<Vec<String>> = vec![Vec::new()];
for l in lines.iter().take(lines.len().saturating_sub(1)) {
if l == "\u{c}" || page_lines.last().is_some_and(|p| p.len() >= per_page) {
page_lines.push(Vec::new());
if l == "\u{c}" {
continue;
}
}
if let Some(p) = page_lines.last_mut() {
p.push(l.clone());
}
}
for lines in page_lines {
let mut c = format!("BT /F1 {size} Tf {line_h:.3} TL {margin} {:.3} Td\n", h - margin - size).into_bytes();
for l in lines {
c.extend(literal(&win_ansi(&l)));
c.extend_from_slice(b" Tj T*\n");
}
c.extend_from_slice(b"ET\n");
let mut fonts = Dict::new();
fonts.set(b"F1".to_vec(), Object::Ref(fr));
let mut res = Dict::new();
res.set(b"Font".to_vec(), Object::Dict(fonts));
tree.add(&mut doc, w, h, res, Some(c));
}
tree.finish(&mut doc)?;
set_title(&mut doc, title);
Ok(doc)
}
#[cfg(test)]
mod tests;