RustO Pre-trained OCR Models
Standalone pre-trained OCR models in pure-Rust Alibaba MNN (rusto-nn), RTen (rusto-rten), and ONNX formats, optimized for RustO! (rusto-rs).
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.
Supported Formats
| Format |
Extension |
Engine Support |
Recommended Environment |
| MNN |
.mnn |
rusto-nn (Pure-Rust Alibaba MNN) |
Default for Native (Linux, macOS, Windows, Android, iOS) |
| RTen |
.rten |
rusto-rten (Pure-Rust RTen) |
Default for WebAssembly (WASM) & zero-C-toolchain setups |
| ONNX |
.onnx |
ONNX Runtime / Direct inspection |
Cross-framework inspection, training pipelines, tract |
Direct URL Access (CORS Enabled)
All model weights and dictionary files are globally accessible with native CORS headers:
https://huggingface.co/byrizki/rusto-models/resolve/main/<folder>/<filename>
Model Catalog by Directory
1. Indra OCR (indraocr/) — Flagship Layout & Multi-Script Engine
| Asset Base |
MNN (.mnn) |
ONNX (.onnx) |
RTen (.rten) |
Description |
indraocr/det |
384 KB |
381 KB |
396 KB |
Base Detection |
indraocr/rec |
4.9 MB |
4.9 MB |
4.9 MB |
Base Recognition |
indraocr/meta.json |
- |
207 KB |
- |
Vocabulary Metadata |
indraocr/order |
2.9 MB |
2.9 MB |
2.9 MB |
Neural Reading Order & Column Sorter |
indraocr/orient |
364 KB |
363 KB |
370 KB |
Page Orientation Classifier |
indraocr/rec_cjk |
9.8 MB |
9.8 MB |
9.8 MB |
CJK Recognition (Chinese, Japanese, Korean) |
indraocr/rec_rtl |
4.6 MB |
4.6 MB |
4.7 MB |
Right-to-Left Recognition (Arabic, Persian, Urdu) |
indraocr/rec_world |
5.4 MB |
5.4 MB |
5.4 MB |
Extended World Languages Recognition |
indraocr/script |
188 KB |
188 KB |
191 KB |
Script & Writing System Classifier |
indraocr/mathcls |
187 KB |
187 KB |
191 KB |
Math Formula Detection / Classifier |
indraocr/math_enc |
9.5 MB |
9.5 MB |
9.5 MB |
Math Formula Encoder |
indraocr/math_dec_init |
1.3 MB |
1.3 MB |
1.4 MB |
Math Formula Decoder (Init Step) |
indraocr/math_dec_step |
7.6 MB |
8.1 MB |
8.1 MB |
Math Formula Decoder (Autoregressive Step) |
indraocr/math_meta.json |
- |
7.7 KB |
- |
Math LaTeX Vocabulary |
2. PP-OCRv6 Tiers
| Folder |
Detection Formats |
Recognition Formats |
Dictionary |
Description |
ppocrv6-tiny/ |
det.mnn, det.onnx, det.rten |
rec.mnn, rec.onnx, rec.rten |
dict.txt (27 KB) |
PP-OCRv6 Tiny (Default Ultra-lightweight) |
ppocrv6-tiny-int8/ |
det.onnx, det.rten |
rec.mnn, rec.onnx, rec.rten |
dict.txt (27 KB) |
PP-OCRv6 Tiny INT8 Quantized |
ppocrv6-small/ |
det.mnn, det.onnx, det.rten |
rec.mnn, rec.onnx, rec.rten |
dict.txt (74 KB) |
PP-OCRv6 Small High-Recall |
ppocrv6-small-int8/ |
det.onnx, det.rten |
rec.mnn, rec.onnx, rec.rten |
dict.txt (74 KB) |
PP-OCRv6 Small INT8 Quantized |
ppocrv6-medium/ |
det.mnn, det.onnx, det.rten |
rec.mnn, rec.onnx, rec.rten |
dict.txt (74 KB) |
PP-OCRv6 Medium High-Capacity |
ppocrv6-medium-int8/ |
det.onnx, det.rten |
rec.mnn, rec.onnx, rec.rten |
dict.txt (74 KB) |
PP-OCRv6 Medium INT8 Quantized |
3. PP-OCRv5 Tiers
| Folder |
Detection Formats |
Recognition Formats |
Dictionary |
Description |
ppocrv5-mobile/ |
det.mnn, det.onnx, det.rten |
rec.mnn, rec.onnx, rec.rten |
dict.txt (73 KB) |
PP-OCRv5 Mobile |
ppocrv5-server/ |
det.mnn, det.onnx, det.rten |
rec.mnn, rec.onnx, rec.rten |
dict.txt (73 KB) |
PP-OCRv5 Server (High Accuracy) |
4. PP-OCRv4 Tiers
| Folder |
Detection Formats |
Recognition Formats |
Dictionary |
Description |
ppocrv4-mobile/ |
det.mnn, det.onnx, det.rten |
rec.mnn, rec.onnx, rec.rten |
dict.txt (26 KB) |
PP-OCRv4 Mobile |
ppocrv4-server/ |
det.mnn, det.onnx, det.rten |
rec.mnn, rec.onnx, rec.rten |
dict.txt (26 KB) |
PP-OCRv4 Server (High Accuracy) |
5. Document Intelligence & Pipeline Extras (modules/)
| Asset Base |
MNN (.mnn) |
ONNX (.onnx) |
RTen (.rten) |
Purpose |
modules/cls |
519 KB |
572 KB |
605 KB |
Text-Line 180° Direction Classifier |
modules/orient |
6.5 MB |
6.5 MB |
6.5 MB |
Document Page Orientation Detector |
modules/uvdoc |
31 MB |
31 MB |
31 MB |
3D Document Dewarping & Unwarping |
modules/layout_cdla |
6.9 MB |
7.1 MB |
7.2 MB |
Document Layout Analysis (CDLA 10-Class) |
modules/layout_publaynet |
6.9 MB |
7.1 MB |
7.2 MB |
Document Layout Analysis (PubLayNet 5-Class) |
6. Multilingual Recognizers (multilingual/)
| Language |
Recognition Assets |
Dictionary Asset |
| Arabic |
ppocrv5_rec_arabic.onnx, ppocrv5_rec_arabic.rten |
ppocrv5_dict_arabic.txt |
| Cyrillic |
ppocrv5_rec_cyrillic.rten |
ppocrv5_dict_cyrillic.txt |
| Devanagari (Hindi) |
ppocrv5_rec_devanagari.onnx, ppocrv5_rec_devanagari.rten |
ppocrv5_dict_devanagari.txt |
| Greek |
ppocrv5_rec_el.rten |
ppocrv5_dict_el.txt |
| East Slavic |
ppocrv5_rec_eslav.rten |
ppocrv5_dict_eslav.txt |
| Korean |
ppocrv5_rec_korean.onnx, ppocrv5_rec_korean.rten |
ppocrv5_dict_korean.txt |
| Latin |
ppocrv5_rec_latin.onnx, ppocrv5_rec_latin.rten |
ppocrv5_dict_latin.txt |
| Tamil |
ppocrv5_rec_ta.rten |
ppocrv5_dict_ta.txt |
| Telugu |
ppocrv5_rec_te.rten |
ppocrv5_dict_te.txt |
| Thai |
ppocrv5_rec_th.rten |
ppocrv5_dict_th.txt |
| Japanese |
ppocrv4_rec_japan.onnx, ppocrv4_rec_japan.rten |
ppocrv4_dict_japan.txt |
| Traditional Chinese |
ppocrv4_rec_chinese_cht.onnx, ppocrv4_rec_chinese_cht.rten |
ppocrv4_dict_chinese_cht.txt |
| Kannada |
ppocrv4_rec_kannada.onnx, ppocrv4_rec_kannada.rten |
ppocrv4_dict_kannada.txt |
Integrity Verification
SHA256 checksums are recorded in SHA256SUMS.
