datalab-to/indra-ocr
image-to-text model by datalab-to
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.
Datalab State of the Art models for Document Intelligence Indra OCR is a 1M-parameter OCR model that runs on CPU. It turns PDFs and images into markdown, text, or JSON with boxes, and it reads handwriting, 80+ languages, and pages at any angle. Indra OCR is named for Indra. Indra OCR is built for speed on CPUs. When you need the highest accuracy, on handwriting, math, complex tables and degraded scans, our managed platform runs Chandra, our state of the art OCR model, with zero data retention by default, SOC 2 Type 2, and custom BAAs. If you have high volume workloads, we offer a batch processing service that can handle 1B+ pages a day. Get started with $5 in free credits - sign up - or try Chandra in our public playground. The first run downloads the models (about 76 MB) from Hugging Face. Real Indra OCR outputs on…
Read the full model card ↗ · Preview checked 2026-10-27T23:42:48.386Z
Inside the original model card — Document outline
- Indra OCR
- Try Datalab's Managed Platform
- Quickstart
- Examples
- License
- Commercial usage
- Installation
- Usage
- CLI
- From python
- Viewer
- Output
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: openrail. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
datalab-to/indra-ocr is a image-to-text model repository published by datalab-to on Hugging Face. The source reports the onnx 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
- onnx
- Recent downloads (30 days)
- 6,428
- Cumulative likes
- 496
- Hugging Face trending score
- 71
- Reported safetensors parameters
- 1,250,566
- Architecture
- Not reported
- License
- openrail
- Access
- Not gated by Hugging Face
- Created
- 2026-10-10T14:12:33.000Z
- Last modified
- 2026-10-19T14:36:52.000Z
Compatibility and lineage
Reported languages: en, fr, de, es, it, pt, nl, pl, cs, sk, ro, hu, sv, da, no, fi, tr, az, uz, vi, id, ms, sw, ha, yo, ru, uk, bg, sr, el, zh, ja, ko, ar, fa, ur, ps, he, hi, mr
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 2026-11-01T06:49:30.141Z. 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