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Update README for v2.0 Rust/PyO3 core
Add Rust badge, revise overview and features table for the v2.0 backend, update project structure to include src/ and new test modules, lower prerequisite to Python >= 3.10 (abi3), and mark completed v2.0 roadmap items (core, fallback, manylinux wheels, chardetng, chunking, Rayon batch). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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README.md

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<img src="https://img.shields.io/badge/TOML-9C4121.svg?style=flat-square&logo=TOML&logoColor=white" alt="TOML">
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<img src="https://img.shields.io/badge/Pytest-0A9EDC.svg?style=flat-square&logo=Pytest&logoColor=white" alt="Pytest">
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<img src="https://img.shields.io/badge/Python-3776AB.svg?style=flat-square&logo=Python&logoColor=white" alt="Python">
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<img src="https://img.shields.io/badge/Rust-000000.svg?style=flat-square&logo=Rust&logoColor=white" alt="Rust">
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<img src="https://img.shields.io/badge/GitHub%20Actions-2088FF.svg?style=flat-square&logo=GitHub-Actions&logoColor=white" alt="GitHub%20Actions">
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<img src="https://img.shields.io/badge/uv-DE5FE9.svg?style=flat-square&logo=uv&logoColor=white" alt="uv">
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## Overview
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TextSpitter is a lightweight Python library that extracts text from documents and source-code files with a single call. It normalises diverse input types — file paths, `BytesIO` streams, `SpooledTemporaryFile` objects, and raw `bytes` — into plain strings, making it ideal for pipelines that feed text into LLMs, search engines, or data-processing workflows.
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TextSpitter is a Python library that extracts text from documents and source-code files with a single call. It normalises diverse input types — file paths, `BytesIO` streams, `SpooledTemporaryFile` objects, and raw `bytes` — into plain strings, making it ideal for pipelines that feed text into LLMs, search engines, or data-processing workflows.
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As of **v2.0**, the processing core is written in Rust (via PyO3 + Maturin), delivering 10x–40x batch throughput improvements over the pure-Python v1 implementation. A transparent Python fallback is included for environments where the native extension is unavailable.
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**Why TextSpitter?**
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- 📄 **Multi-format extraction** — PDF (PyMuPDF + PyPDF fallback), DOCX, TXT, CSV, and 50 + programming-language file types.
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- 🔌 **Stream-first API** — accepts file paths, `BytesIO`, `SpooledTemporaryFile`, or raw `bytes`; no temp files required.
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-**Rust-powered core** — encoding detection, Unicode normalisation, BPE token counting, and text chunking all run in native code with Rayon parallelism and GIL-released batch methods.
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- 🐍 **Graceful fallback** — pure-Python mirror of every Rust class; `_RUST_AVAILABLE` flag lets callers detect which path is active.
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- 🛠️ **Optional structured logging** — install `textspitter[logging]` to add `loguru`; falls back to stdlib `logging` transparently.
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- 🖥️ **CLI included**`uv tool install textspitter` gives you a `textspitter` command for quick one-off extractions.
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- 🚀 **Automated CI/CD** — GitHub Actions run the test matrix (Python 3.12–3.14) and publish docs to GitHub Pages on every push.
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- 🚀 **Automated CI/CD** — GitHub Actions run the test matrix (Python 3.12–3.14) and publish multi-platform wheels (Linux, Windows, macOS) to PyPI on every release.
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## Features
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| | Component | Details |
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| :--- | :--------------- | :----------------------------------- |
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| ⚙️ | **Architecture** | <ul><li>Three-layer design: `TextSpitter` convenience function → `WordLoader` dispatcher → `FileExtractor` low-level reader</li><li>OOP design enables straightforward subclassing and extension</li></ul> |
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| 🔩 | **Code Quality** | <ul><li>Strict PEP 8 / ruff linting with black formatting</li><li>Full type hints; ships a `py.typed` PEP 561 marker</li></ul> |
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| ⚙️ | **Architecture** | <ul><li>Four-layer design: `TextSpitter` convenience function → `WordLoader` dispatcher → `FileExtractor` reader → Rust `_core` extension</li><li>Transparent Python fallback (`_fallback.py`) when the native extension is unavailable</li></ul> |
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| 🦀 | **Rust Core** | <ul><li>`detect_encoding` — single-pass chardetng encoding detection with UTF-8 BOM handling</li><li>`TextNormalizer` — Unicode NFC/NFD/NFKC/NFKD, whitespace collapse, OCR artifact repair, header/footer stripping</li><li>`TokenCounter` — BPE counting via tiktoken-rs; `count_batch()` releases the GIL via Rayon</li><li>`TextChunker` / `Chunk` — token-aware chunking with table preservation and section detection</li></ul> |
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| 🔩 | **Code Quality** | <ul><li>Strict PEP 8 / ruff linting with black formatting</li><li>Full type hints on both Python and Rust layers; ships a `py.typed` PEP 561 marker</li></ul> |
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| 📄 | **Documentation** | <ul><li>API docs auto-published to GitHub Pages via pdoc</li><li>Quick-start guide, tutorial, use-case examples, and recipes</li></ul> |
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| 🔌 | **Integrations** | <ul><li>CI/CD with GitHub Actions (tests + docs + PyPI publish)</li><li>Package management via `uv`; installable via `pip` or `uv tool install`</li></ul> |
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| 🔌 | **Integrations** | <ul><li>CI/CD with GitHub Actions (tests + docs + multi-platform PyPI publish via maturin-action)</li><li>Package management via `uv`; installable via `pip` or `uv tool install`</li></ul> |
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| 🧩 | **Modularity** | <ul><li>Core `FileExtractor` separated from dispatch logic in `WordLoader`</li><li>Logging abstraction in `logger.py` isolates the optional `loguru` dependency</li></ul> |
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| 🧪 | **Testing** | <ul><li>~70 pytest tests covering all readers and input types</li><li>Dual-mode log capture fixture works with or without `loguru`</li></ul> |
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| ⚡️ | **Performance** | <ul><li>Class-level `frozenset` / `dict` constants avoid per-call allocation</li><li>Stream rewind avoids re-reading large files</li></ul> |
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| 📦 | **Dependencies** | <ul><li>Core: `pymupdf`, `pypdf`, `python-docx`</li><li>Optional logging: `loguru` (`pip install textspitter[logging]`)</li></ul> |
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| 🧪 | **Testing** | <ul><li>239 pytest tests covering all readers, Rust classes, and Python fallback paths</li><li>Dual-path test fixtures exercise both `_RUST_AVAILABLE=True` and `False` branches</li></ul> |
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| ⚡️ | **Performance** | <ul><li>10x–40x batch throughput improvement over v1 via Rust + Rayon parallelism</li><li>GIL released on all `*_batch()` methods; Python threads unblocked during Rust work</li></ul> |
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| 📦 | **Dependencies** | <ul><li>Core: `pymupdf`, `pypdf`, `python-docx`</li><li>Optional logging: `loguru` (`pip install textspitter[logging]`)</li><li>No Rust toolchain required at runtime — pre-built wheels for Linux, Windows, macOS</li></ul> |
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├── .github/
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│ └── workflows/
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│ ├── docs.yml # pdoc → GitHub Pages
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│ ├── python-publish.yml # PyPI release
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│ ├── python-publish.yml # multi-platform PyPI release (maturin-action)
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│ └── tests.yml # pytest matrix (3.12 – 3.14)
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├── src/ # Rust extension (PyO3 / Maturin)
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│ ├── lib.rs # PyModule registration
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│ ├── encoding.rs # detect_encoding() via chardetng
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│ ├── normalize.rs # TextNormalizer
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│ ├── token.rs # TokenCounter via tiktoken-rs
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│ ├── chunk.rs # TextChunker + Chunk
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│ └── separator.rs # Section-boundary detection (stub)
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├── TextSpitter/
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│ ├── __init__.py # TextSpitter() + WordLoader public API
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│ ├── __init__.py # imports _core or _fallback; exports _RUST_AVAILABLE
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│ ├── _fallback.py # Pure-Python mirror of all _core exports
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│ ├── cli.py # argparse CLI entry point
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│ ├── core.py # FileExtractor class
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│ ├── logger.py # Optional loguru / stdlib fallback
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│ └── guide/ # pdoc documentation pages (subpackage)
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├── tests/
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│ ├── conftest.py # shared fixtures (log_capture)
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│ ├── test_cli.py
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│ ├── test_chunker.py # TextChunker — Rust + fallback paths
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│ ├── test_detect_encoding.py # detect_encoding()
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│ ├── test_normalizer.py # TextNormalizer
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│ ├── test_token_counter.py # TokenCounter
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│ ├── test_rust_integration.py # cross-class integration tests
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│ ├── test_file_extractor.py
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│ ├── test_txt.py
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│ ├── test_cli.py
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│ └── ...
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├── Cargo.toml
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├── Cargo.lock
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├── CHANGELOG.md
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├── CONTRIBUTING.md
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├── pyproject.toml
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### Prerequisites
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- **Python** ≥ 3.12
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- **Python** ≥ 3.10
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- **[uv](https://docs.astral.sh/uv/)** (recommended) or pip
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- No Rust toolchain required — pre-built wheels are provided for Linux (x86_64, aarch64), Windows (x64), and macOS (x86_64, Apple Silicon)
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### Installation
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## Roadmap
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### v1.x (current)
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### v1.x
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- [x] Stream-based API (`BytesIO`, `SpooledTemporaryFile`, raw `bytes`)
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- [x] CLI entry point (`uv tool install textspitter`)
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### v2.0 — Rust backend ([full roadmap](https://github.com/fsecada01/TextSpitter/wiki/TextSpitter-2.0-Rust-Roadmap))
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- [ ] Rust splitting core via PyO3 + Maturin — **10x–40x** batch throughput
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- [ ] Graceful Python fallback when Rust extension is unavailable
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- [ ] `manylinux` wheels on PyPI — zero-compile install for Linux users
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- [x] Rust core via PyO3 + Maturin — **10x–40x** batch throughput (`encoding`, `normalize`, `token`, `chunk`)
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- [x] Graceful Python fallback when Rust extension is unavailable (`_fallback.py`)
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- [x] `manylinux` wheels on PyPI — zero-compile install for Linux, Windows, macOS
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- [x] `chardetng` encoding detection replacing 4-attempt Python loop
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- [x] Token-aware chunking with Markdown table preservation and section detection
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- [x] Rayon parallelism + GIL release on all `*_batch()` methods
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- [ ] Memory-mapped file processing for very large PDFs (`memmap2`)
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- [ ] SIMD-accelerated string search for separator detection
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- [ ] Streaming iterator API (yield chunks instead of collecting all)

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