RustO Pre-trained RTen OCR Models
Standalone pre-trained OCR models in pure-Rust RTen format, 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.
Direct URL Access (CORS Enabled)
All model weights and dictionary files are globally accessible with native CORS headers:
https://huggingface.co/byrizki/rten-models/resolve/main/<folder>/<filename>
Model Catalog by Directory
1. Indra OCR (indraocr/) — Default Flagship
| 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 |
2. PP-OCRv6 Tiers
| 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 |
3. PP-OCRv5 Tiers
| 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 |
4. PP-OCRv4 Tiers
| 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 |
5. Multilingual Recognizers (multilingual/)
| 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 |
6. Document Intelligence & Pipeline Extras (modules/)
| 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) |
Integrity Verification
SHA256 checksums are recorded in SHA256SUMS.
