TIESresearch/TIES-IndicOCR-Omni-v1
image-to-text model by TIESresearch
Older snapshot: check the original source for current information.
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
A single deployable Hugging Face model repository and inference API routing across 32 Indic OCR specialists. This package covers printed, handwritten, and scene-text word crops and preserves each trained checkpoint instead of performing unsafe weight averaging. Open the browser demo — inference runs locally in the visitor's browser; uploaded images are not sent to a server. This is a routed mixture of experts, not one averaged neural checkpoint. The caller supplies an ISO language code and modality; the runtime lazily loads the corresponding ONNX expert. This is the deployable consolidation format because a literal weight fusion was benchmarked and failed (Hindi test subset CER 1.0000 versus 0.0998 for the specialist). Python: predict() accepts a cropped word or short line. predictpage() applies the shared page-to-line detector, line-to-word segmenter,…
Read the full model card ↗ · Preview checked 2026-11-11T09:15:57.070Z
Inside the original model card — Document outline
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Links from the model card
References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.
Documentation belongs to its respective authors. Reported project/model license: cc-by-4.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
TIESresearch/TIES-IndicOCR-Omni-v1 is a image-to-text model repository published by TIESresearch on Hugging Face. The source reports the onnxruntime library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-to-text
- Library
- onnxruntime
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- TIESIndicOCROmni
- License
- cc-by-4.0
- Access
- Not gated by Hugging Face
- Created
- 2026-11-11T06:25:11.000Z
- Last modified
- 2026-11-11T06:51:00.000Z
Compatibility and lineage
Reported languages: as, bn, gu, hi, kn, ml, mni, mr, or, pa, ta, te, ur
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-11T06:56:43.242Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
Related models
Litap007/indic-citizen-information-board-pmgsy-florence2-lora