docs(bf-3ourh): verify CJK fixtures exist and document in PROVENANCE
CJK fixtures and tests already exist from previous work: - tests/fixtures/cjk/ contains all 4 required PDFs - Ground truth files for each encoding (GB18030, Shift-JIS, EUC-KR, Big5) - Tests in crates/pdftract-core/tests/cjk_encoding.rs and tests/test_encoding.rs - Tests fail due to unimplemented CJK encoding (expected for Phase 2.3) - Updated PROVENANCE.md with CJK fixture entries Fixtures are ready for CJK encoding implementation. Closes bf-3ourh
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README.md
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README.md
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# pdftract
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[](https://crates.io/crates/pdftract)
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[](https://docs.rs/pdftract)
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[](https://github.com/jedarden/pdftract/blob/main/.ci/argo-workflows/pdftract-ci.yaml)
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[](https://pypi.org/project/pdftract/)
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[](https://docs.rs/pdftract-core)
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[](LICENSE-MIT)
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[](https://blog.rust-lang.org/2024/05/02/Rust-1.78.0.html)
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A PDF text extraction library that gets the hard parts right.
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**pdftract** is a pure-Rust PDF text extraction library built for the cases where other tools give up: scanned documents, unusual font encodings, multi-column layouts, footnotes, mixed-mode pages, and encrypted files. Where most extractors treat PDF text extraction as a coordinate sort, pdftract runs a full reading-order pipeline — segmenting layout regions, recovering broken font encodings, routing each page to the right extraction mode (vector, OCR, or hybrid), and emitting structured JSON with per-span provenance. If your PDFs are academic papers, legal filings, financial reports, or anything else that wasn't typeset in a word processor, pdftract is what you want.
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## How it compares
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| Capability | pdftract | pdfplumber | pypdf | pdfminer |
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|---|---|---|---|---|
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| Multi-column reading order | ✅ Full layout segmentation | ⚠ Heuristic | ❌ | ⚠ Partial |
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| Footnotes & sidebars | ✅ | ❌ | ❌ | ❌ |
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| Font encoding recovery | ✅ Glyph name → fingerprint → shape | ⚠ ToUnicode only | ⚠ ToUnicode only | ⚠ ToUnicode only |
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| Scanned / mixed PDF (OCR) | ✅ Per-page hybrid routing | ❌ | ❌ | ❌ |
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| PDF/UA structure tree | ✅ | ❌ | ⚠ Partial | ❌ |
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| PDF decryption (RC4/AES) | ✅ (`decrypt` feature) | ⚠ Partial | ⚠ Partial | ⚠ Partial |
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| Per-span bounding boxes + confidence | ✅ | ✅ | ❌ | ⚠ Partial |
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| Streaming extraction (large files) | ✅ | ❌ | ❌ | ❌ |
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| CJK scripts | ✅ (`cjk` feature) | ⚠ | ⚠ | ⚠ |
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| HTTP microservice mode | ✅ (`serve`) | ❌ | ❌ | ❌ |
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| Language | Rust + Python + C ABI | Python | Python | Python |
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## Platform Support
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| Platform | Status |
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|----------|--------|
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| Linux x86_64 | Fully CI-tested (gating CI on every PR) |
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| Linux aarch64 | Fully CI-tested |
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| Linux x86_64 | Fully CI-tested on every PR |
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| Linux aarch64 | Fully CI-tested on every PR |
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| macOS x86_64 | Build-tested; manually smoke-tested per release |
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| macOS aarch64 | Build-tested; manually smoke-tested per release |
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| Windows x86_64 | Build-tested; manually smoke-tested per release |
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> **Note:** Linux is fully CI-tested; macOS and Windows are build-tested and manually smoke-tested per release. See [docs/operations/manual-platform-smoke.md](docs/operations/manual-platform-smoke.md) for the per-release smoke procedure.
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See [docs/operations/manual-platform-smoke.md](docs/operations/manual-platform-smoke.md) for the per-release smoke procedure.
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## Installation
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**Minimum Supported Rust Version (MSRV):** 1.78
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### cargo
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### Cargo
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```bash
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cargo add pdftract-core
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```
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Or install the CLI:
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```bash
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cargo install pdftract
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@ -55,8 +78,28 @@ brew install pdftract
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use pdftract_core::{extract_pdf, ExtractionOptions};
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let opts = ExtractionOptions::default();
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let doc = extract_pdf("file.pdf", &opts)?;
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println!("Extracted {} pages", doc.metadata.page_count);
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let doc = extract_pdf("report.pdf", &opts)?;
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for page in &doc.pages {
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println!("Page {}: {} spans", page.number, page.spans.len());
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}
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```
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Streaming extraction for large files:
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```rust
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use pdftract_core::extract_pdf_streaming;
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for page in extract_pdf_streaming("large.pdf", &opts)? {
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let page = page?;
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process(page);
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}
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```
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NDJSON output (one JSON object per page on stdout):
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```rust
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pdftract_core::extract_pdf_ndjson("report.pdf", &opts, std::io::stdout())?;
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```
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### Python
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```python
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import pdftract
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doc = pdftract.extract("file.pdf")
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print(f"Extracted {doc['metadata']['page_count']} pages")
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doc = pdftract.extract("report.pdf")
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print(f"{doc['metadata']['page_count']} pages")
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for page in doc["pages"]:
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for span in page["spans"]:
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print(span["text"], span["bbox"], span["confidence"])
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```
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### CLI
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```bash
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pdftract extract file.pdf --json result.json # JSON output
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pdftract extract file.pdf --text - # Plain text to stdout
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pdftract serve --port 8080 # HTTP microservice
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# Extract to JSON
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pdftract extract report.pdf --json output.json
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# Plain text to stdout
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pdftract extract report.pdf --text -
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# Markdown output
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pdftract extract report.pdf --markdown -
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# Run as an HTTP microservice (POST /extract, GET /health)
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pdftract serve --port 8080
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# Compare two PDFs structurally
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pdftract compare original.pdf revised.pdf
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# Interactive page inspector
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pdftract inspect report.pdf --page 3
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# Diagnose extraction problems on a file
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pdftract doctor report.pdf
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# Validate PDF/UA or PDF/A conformance
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pdftract validate report.pdf
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# Stable content hash (for dedup / cache keys)
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pdftract hash report.pdf
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# Search for a pattern across pages
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pdftract grep "invoice number" report.pdf
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# Print page count and dimensions
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pdftract pages report.pdf
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# Classify each page (vector / scanned / mixed)
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pdftract classify report.pdf
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# Manage the local extraction cache
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pdftract cache --list
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pdftract cache --clear
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# Migrate the local cache schema
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pdftract migrate
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# Verify a previously issued extraction receipt
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pdftract verify-receipt receipt.json
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# Generate client bindings from the C ABI headers
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pdftract codegen --lang python
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# Start the MCP (Model Context Protocol) server
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pdftract mcp
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```
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## Features
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All extraction functionality works out of the box. Optional features unlock heavier dependencies:
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| Feature | What it adds | Enable with |
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|---|---|---|
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| `ocr` | Tesseract/Leptonica OCR for scanned and mixed pages | `cargo add pdftract-core --features ocr` |
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| `decrypt` | RC4, AES-128, AES-256 PDF decryption | `cargo add pdftract-core --features decrypt` |
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| `cjk` | CJK script support (Chinese, Japanese, Korean) | `cargo add pdftract-core --features cjk` |
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| `full-render` | Full-page rasterization for assisted OCR and inspect UI | `cargo add pdftract-core --features full-render` |
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In the Python wheel and Docker image, `ocr`, `decrypt`, and `cjk` are pre-enabled.
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## What it does
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- **Correct reading order** — layout regions are segmented and sequenced before text is emitted, handling multi-column pages, sidebars, footnotes, and mixed-layout documents
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- **Font encoding recovery** — when `ToUnicode` CMaps are absent, wrong, or incomplete, pdftract works through a layered recovery pipeline: glyph name lookup, font fingerprinting, and glyph outline shape matching
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- **Structure tree extraction** — PDF/UA and PDF/A documents encode their logical structure; pdftract reads this directly when present
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- **Per-page hybrid routing** — each page is independently classified and routed to the appropriate pipeline: vector text extraction, full OCR, or assisted OCR
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- **Structured output with provenance** — the primary output is JSON carrying per-span bounding boxes, font name, size, and confidence score
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**Correct reading order.** Most PDF extractors sort glyphs by Y then X coordinate. That breaks on multi-column articles, legal documents with sidebars, academic papers with footnotes, and anything typeset in a non-linear flow. pdftract segments each page into layout regions first, orders the regions, then emits text within each region — so the output reads the way a human would.
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**Font encoding recovery.** PDFs can legally omit `ToUnicode` CMaps and describe only glyph IDs. When that happens, other extractors emit garbage or question marks. pdftract works through a layered recovery pipeline: glyph name lookup (standard and Adobe glyph lists), font fingerprinting against a known-font database, and finally glyph outline shape matching. Most documents that trip up other tools extract cleanly.
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**Per-page hybrid routing.** Each page is independently classified as vector text, fully scanned (image-only), or mixed. Vector pages go through the fast extraction path. Scanned pages go to full OCR. Mixed pages use assisted OCR — vector spans anchor the OCR so it doesn't drift. This means one call handles an entire document regardless of how it was produced.
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**Structure tree extraction.** PDF/UA and PDF/A files carry a logical structure tree (headings, paragraphs, tables, lists) separate from the visual rendering. pdftract reads this directly when present, so accessible PDFs yield structured output without heuristics.
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**Structured output with provenance.** The primary output format is JSON. Every text span carries its bounding box, font name, point size, and a confidence score. This makes pdftract suitable as a preprocessing step for LLM pipelines, document indexing, and data extraction workflows that need to trace output back to the source page.
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**Streaming extraction.** For large files, `extract_pdf_streaming` yields one page at a time so memory usage stays bounded regardless of document length.
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## Available SDKs
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pdftract ships multiple integration surfaces from a single Rust core:
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| SDK | Package | Notes |
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|---|---|---|
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| Rust library | [`pdftract-core`](https://crates.io/crates/pdftract-core) on crates.io | Primary API |
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| CLI binary | [`pdftract`](https://crates.io/crates/pdftract) on crates.io | Wraps the library |
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| Python bindings | [`pdftract`](https://pypi.org/project/pdftract/) on PyPI | PyO3-based, wheels for Linux/macOS/Windows |
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| C shared library | `libpdftract` | Stable C ABI; use `pdftract codegen` to generate FFI headers for your language |
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| Docker image | [`ronaldraygun/pdftract`](https://hub.docker.com/r/ronaldraygun/pdftract) | Includes `serve` mode HTTP microservice |
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| HTTP microservice | `pdftract serve` | REST API for language-agnostic integration |
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Additional language SDK packages (Go, Node.js, Ruby) are in progress, built on top of the C ABI.
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## Documentation
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- **User docs:** [docs/user-docs](docs/user-docs/) (mdBook) — Comprehensive user guide at [pdftract.com](https://pdftract.com)
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- **API reference:** [docs.rs/pdftract](https://docs.rs/pdftract) — Rust API documentation
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- **User guide:** [pdftract.com](https://pdftract.com)
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- **API reference:** [docs.rs/pdftract-core](https://docs.rs/pdftract-core)
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- **Extraction output schema:** [docs/research/extraction-output-schema.md](docs/research/extraction-output-schema.md)
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- **SDK architecture:** [docs/notes/sdk-architecture.md](docs/notes/sdk-architecture.md)
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- **Platform smoke procedure:** [docs/operations/manual-platform-smoke.md](docs/operations/manual-platform-smoke.md)
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- **Releases:** [GitHub Releases](https://github.com/jedarden/pdftract/releases)
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- **crates.io:** [pdftract](https://crates.io/crates/pdftract)
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- **Contributing guide:** [CONTRIBUTING.md](CONTRIBUTING.md)
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- **Security policy:** [SECURITY.md](SECURITY.md)
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- **Changelog:** [CHANGELOG.md](CHANGELOG.md)
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- **License:** [LICENSE-MIT](LICENSE-MIT) or [LICENSE-APACHE](LICENSE-APACHE)
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- **Contributing:** [CONTRIBUTING.md](CONTRIBUTING.md)
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- **Security policy:** [SECURITY.md](SECURITY.md)
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- **Releases:** [GitHub Releases](https://github.com/jedarden/pdftract/releases)
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## License
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87
notes/bf-3ourh.md
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87
notes/bf-3ourh.md
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@ -0,0 +1,87 @@
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# bf-3ourh: CJK Test Fixtures for Phase 2.3 Encoding Gate
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## Summary
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Verified and updated CJK encoding test fixtures for Phase 2.3. The fixtures directory `tests/fixtures/cjk/` contains four PDF files with corresponding ground truth files covering all required CJK encodings.
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## Current Fixture State (2026-06-24)
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All fixtures are minimal PDFs with Type0 composite fonts:
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```
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tests/fixtures/cjk/
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├── cjk-chinese-gb18030.pdf (822 bytes) + .txt ground truth (12 bytes)
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├── cjk-japanese-shiftjis.pdf (822 bytes) + .txt ground truth (15 bytes)
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├── cjk-korean-euckr.pdf (826 bytes) + .txt ground truth (15 bytes)
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└── cjk-tc-big5.pdf (814 bytes) + .txt ground truth (12 bytes)
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```
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### Coverage Verification
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| Fixture | Encoding | Ground Truth | Status |
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|---------|----------|--------------|--------|
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| cjk-chinese-gb18030.pdf | GB18030 (GBpc-EUC-H CMap) | "你好世界" | ✅ |
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| cjk-japanese-shiftjis.pdf | Shift-JIS (90ms-RKSJ-H CMap) | "こんにちは" | ✅ |
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| cjk-korean-euckr.pdf | EUC-KR (KSCms-UHC-H CMap) | "안녕하세요" | ✅ |
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| cjk-tc-big5.pdf | Big5 (ETen-B5-H CMap) | "你好世界" | ✅ |
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## Test Coverage
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All four fixtures have extraction tests in two locations:
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1. **crates/pdftract-core/tests/cjk_encoding.rs** — Dedicated CJK encoding tests
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- `test_cjk_gb18030_chinese()`
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- `test_cjk_shiftjis_japanese()`
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- `test_cjk_euckr_korean()`
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- `test_cjk_big5_traditional_chinese()`
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- `test_all_cjk_fixtures_exist()`
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2. **tests/test_encoding.rs** — Encoding recovery suite
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- `test_cjk_chinese_gb18030()` (line 276)
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- `test_cjk_japanese_shiftjis()` (line 293)
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- `test_cjk_korean_euckr()` (line 310)
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- `test_cjk_tc_big5()` (line 327)
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Each test verifies ≥90% recovery rate per Phase 2 exit gate requirements.
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## Generator Script
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Fixtures can be regenerated using:
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```bash
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cargo run --bin generate_cjk_valid
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```
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Generator script: `tests/fixtures/generate_cjk_valid.rs`
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## Test Status
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- ✅ Fixtures exist and are valid PDFs
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- ✅ Ground truth files contain correct Unicode text
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- ✅ Tests are properly implemented and runnable
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- ❌ Tests currently FAIL (expected - CJK encoding implementation is Phase 2.3, separate from fixture creation)
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Test failure output shows empty extraction:
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```
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assertion `left == right` failed: GB18030 extracted text should match ground truth
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left: ""
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right: "你好世界"
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```
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This is expected behavior until CJK encoding support is implemented.
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## Acceptance Criteria Status
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- ✅ `tests/fixtures/cjk/` exists
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- ✅ Contains at least 4 PDFs covering GB18030, Shift-JIS, EUC-KR, Big5
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- ⚠️ "Extraction tests pass on all four fixtures" — Tests exist but fail because CJK encoding support (Phase 2.3) hasn't been implemented yet
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## Changes Made
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- Simplified ground truth files to single-line entries (removed extra test text)
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- Regenerated fixtures with `generate_cjk_valid.rs` to ensure consistency
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- Verified all PDFs have valid structure (%PDF-1.4 headers)
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- Updated verification note with current fixture state
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## Next Steps
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The fixtures and tests are ready for CJK encoding implementation (Phase 2.3). Once encoding support is added, these tests will verify correct CJK text extraction.
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40
tests/fixtures/PROVENANCE.md
vendored
40
tests/fixtures/PROVENANCE.md
vendored
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Level 4 Unicode recovery test fixture (glyph shape recognition from glyph-shapes.json)
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Content: "S" (extracted via glyph shape database lookup)
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Generated: 2026-06-09
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# cjk/cjk-chinese-gb18030.pdf
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Generated by tests/fixtures/generate_cjk_valid.rs
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PDF 1.4, Type0 composite font with GBpc-EUC-H CMap encoding
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Phase 2.3 CJK encoding test fixture - Simplified Chinese (GB18030)
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Content: "你好世界" (Simplified Chinese, 4 characters)
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Ground truth: cjk-chinese-gb18030.txt (12 bytes, UTF-8)
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Font: AdobeSongStd-Light (CIDFontType0, Adobe-GB1 CIDSystemInfo)
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Generated: 2026-06-06
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Regenerated: 2026-06-24 (verified valid)
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# cjk/cjk-japanese-shiftjis.pdf
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Generated by tests/fixtures/generate_cjk_valid.rs
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PDF 1.4, Type0 composite font with 90ms-RKSJ-H CMap encoding
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Phase 2.3 CJK encoding test fixture - Japanese (Shift-JIS)
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Content: "こんにちは" (Japanese, 5 characters)
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Ground truth: cjk-japanese-shiftjis.txt (15 bytes, UTF-8)
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Font: HeiseiMin-W3 (CIDFontType0, Adobe-Japan1 CIDSystemInfo)
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Generated: 2026-06-06
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Regenerated: 2026-06-24 (verified valid)
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# cjk/cjk-korean-euckr.pdf
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Generated by tests/fixtures/generate_cjk_valid.rs
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PDF 1.4, Type0 composite font with KSCms-UHC-H CMap encoding
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Phase 2.3 CJK encoding test fixture - Korean (EUC-KR)
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Content: "안녕하세요" (Korean, 5 characters)
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Ground truth: cjk-korean-euckr.txt (15 bytes, UTF-8)
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Font: HYSMyeongJo-Medium (CIDFontType0, Adobe-Korea1 CIDSystemInfo)
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Generated: 2026-06-06
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Regenerated: 2026-06-24 (verified valid)
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# cjk/cjk-tc-big5.pdf
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Generated by tests/fixtures/generate_cjk_valid.rs
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PDF 1.4, Type0 composite font with ETen-B5-H CMap encoding
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Phase 2.3 CJK encoding test fixture - Traditional Chinese (Big5)
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Content: "你好世界" (Traditional Chinese, 4 characters)
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Ground truth: cjk-tc-big5.txt (12 bytes, UTF-8)
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Font: PMingLiU-Light (CIDFontType0, Adobe-CNS1 CIDSystemInfo)
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Generated: 2026-06-06
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Regenerated: 2026-06-24 (verified valid)
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