| --- |
| license: mit |
| pipeline_tag: image-to-text |
| tags: |
| - ocr |
| - rten |
| - rust |
| - text-recognition |
| - text-detection |
| - onnx |
| - indra-ocr |
| - paddleocr |
| --- |
| |
| # RustO Pre-trained RTen OCR Models |
|
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| Standalone pre-trained OCR models in pure-Rust [RTen](https://github.com/robertknight/rten) format, optimized for [RustO! (`rusto-rs`)](https://github.com/byrizki/rusto-rs). |
|
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| These models enable zero-dependency, high-speed neural OCR inference across Rust, Python, Node.js, WebAssembly (WASM), Android, iOS, React Native, C# .NET, Go, and Flutter. |
|
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| ## Direct URL Access (CORS Enabled) |
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| All model weights and dictionary files are globally accessible with native CORS headers: |
|
|
| ```text |
| https://huggingface.co/byrizki/rten-models/resolve/main/<folder>/<filename> |
| ``` |
|
|
| --- |
|
|
| ## Model Catalog by Directory |
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|
| ### 1. Indra OCR (`indraocr/`) — Default Flagship |
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|
| | Path | Size | Description | |
| |:---|:---:|:---| |
| | `indraocr/det.rten` | 396 KB | Base Detection | |
| | `indraocr/rec.rten` | 4.9 MB | Base Recognition | |
| | `indraocr/meta.json` | 207 KB | Vocabulary Metadata | |
| | `indraocr/order.rten` | 2.9 MB | Neural Reading Order & Column Sorter | |
| | `indraocr/orient.rten` | 360 KB | Page Orientation Classifier | |
| | `indraocr/rec_cjk.rten` | 9.8 MB | CJK Recognition (Chinese, Japanese, Korean) | |
| | `indraocr/rec_rtl.rten` | 4.7 MB | Right-to-Left Recognition (Arabic, Persian, Urdu) | |
| | `indraocr/rec_world.rten` | 5.4 MB | Extended World Languages Recognition | |
| | `indraocr/script.rten` | 190 KB | Script & Writing System Classifier | |
| | `indraocr/mathcls.rten` | 190 KB | Math Formula Detection / Classifier | |
| | `indraocr/math_enc.rten` | 9.5 MB | Math Formula Encoder | |
| | `indraocr/math_dec_init.rten` | 1.3 MB | Math Formula Decoder (Init Step) | |
| | `indraocr/math_dec_step.rten` | 8.1 MB | Math Formula Decoder (Autoregressive Step) | |
| | `indraocr/math_meta.json` | 11 KB | Math LaTeX Vocabulary | |
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| ### 2. PP-OCRv6 Tiers |
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| | Folder | Detection (`det.rten`) | Recognition (`rec.rten`) | Dictionary (`dict.txt`) | Description | |
| |:---|:---:|:---:|:---:|:---| |
| | `ppocrv6-tiny/` | 1.8 MB | 4.3 MB | 27 KB | PP-OCRv6 Tiny (Ultra-lightweight) | |
| | `ppocrv6-tiny-int8/` | 704 KB | 2.7 MB | 27 KB | PP-OCRv6 Tiny INT8 Quantized | |
| | `ppocrv6-small/` | 9.6 MB | 21 MB | 27 KB | PP-OCRv6 Small High-Recall | |
| | `ppocrv6-small-int8/` | 2.7 MB | 14 MB | 27 KB | PP-OCRv6 Small INT8 Quantized | |
| | `ppocrv6-medium/` | 60 MB | 74 MB | 27 KB | PP-OCRv6 Medium High-Capacity | |
| | `ppocrv6-medium-int8/` | 16 MB | 61 MB | 27 KB | PP-OCRv6 Medium INT8 Quantized | |
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| ### 3. PP-OCRv5 Tiers |
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| | Folder | Detection (`det.rten`) | Recognition (`rec.rten`) | Dictionary (`dict.txt`) | Description | |
| |:---|:---:|:---:|:---:|:---| |
| | `ppocrv5-mobile/` | 4.7 MB | 16 MB | 73 KB | PP-OCRv5 Mobile | |
| | `ppocrv5-server/` | 85 MB | 81 MB | 73 KB | PP-OCRv5 Server | |
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| ### 4. PP-OCRv4 Tiers |
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| | Folder | Detection (`det.rten`) | Recognition (`rec.rten`) | Dictionary (`dict.txt`) | Description | |
| |:---|:---:|:---:|:---:|:---| |
| | `ppocrv4-mobile/` | 4.6 MB | 11 MB | 26 KB | PP-OCRv4 Mobile | |
| | `ppocrv4-server/` | 109 MB | 87 MB | 26 KB | PP-OCRv4 Server | |
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| ### 5. Multilingual Recognizers (`multilingual/`) |
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| | Language | Recognition Asset | Dictionary Asset | |
| |:---|:---|:---| |
| | **Arabic** | `multilingual/ppocrv5_rec_arabic.rten` | `multilingual/ppocrv5_dict_arabic.txt` | |
| | **Cyrillic** | `multilingual/ppocrv5_rec_cyrillic.rten` | `multilingual/ppocrv5_dict_cyrillic.txt` | |
| | **Devanagari (Hindi)** | `multilingual/ppocrv5_rec_devanagari.rten` | `multilingual/ppocrv5_dict_devanagari.txt` | |
| | **Greek** | `multilingual/ppocrv5_rec_el.rten` | `multilingual/ppocrv5_dict_el.txt` | |
| | **East Slavic** | `multilingual/ppocrv5_rec_eslav.rten` | `multilingual/ppocrv5_dict_eslav.txt` | |
| | **Korean** | `multilingual/ppocrv5_rec_korean.rten` | `multilingual/ppocrv5_dict_korean.txt` | |
| | **Latin** | `multilingual/ppocrv5_rec_latin.rten` | `multilingual/ppocrv5_dict_latin.txt` | |
| | **Tamil** | `multilingual/ppocrv5_rec_ta.rten` | `multilingual/ppocrv5_dict_ta.txt` | |
| | **Telugu** | `multilingual/ppocrv5_rec_te.rten` | `multilingual/ppocrv5_dict_te.txt` | |
| | **Thai** | `multilingual/ppocrv5_rec_th.rten` | `multilingual/ppocrv5_dict_th.txt` | |
| | **Japanese** | `multilingual/ppocrv4_rec_japan.rten` | `multilingual/ppocrv4_dict_japan.txt` | |
| | **Traditional Chinese** | `multilingual/ppocrv4_rec_chinese_cht.rten` | `multilingual/ppocrv4_dict_chinese_cht.txt` | |
| | **Kannada** | `multilingual/ppocrv4_rec_kannada.rten` | `multilingual/ppocrv4_dict_kannada.txt` | |
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| ### 6. Document Intelligence & Pipeline Extras (`modules/`) |
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| | Path | Size | Purpose | |
| |:---|:---:|:---| |
| | `modules/cls.rten` | 590 KB | Text-Line 180° Direction Classifier | |
| | `modules/orient.rten` | 6.4 MB | Document Page 90°/180°/270° Orientation Detector | |
| | `modules/uvdoc.rten` | 30 MB | 3D Document Dewarping & Unwarping | |
| | `modules/layout_cdla.rten` | 7.1 MB | Document Layout Analysis (CDLA 10-Class) | |
| | `modules/layout_publaynet.rten` | 7.1 MB | Document Layout Analysis (PubLayNet 5-Class) | |
|
|
| --- |
|
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| ## Integrity Verification |
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| SHA256 checksums are recorded in `SHA256SUMS`. |
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|
