datalab-to/indra

Fast CPU OCR: line detection, CTC recognition, reading order, markdown

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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 uses Chandra, our state of the art OCR model, and other models, with opt-in zero data retention, SOC 2 Type 2, and custom BAAs. If you have high volume workloads, we offer a batch processing service that has processed 1B+ pages in a day at peak. The Datalab API turns documents into verifiable knowledge your agents act on. Every result traces back to its page and position, and one API can parse, extract, fill and edit…

datalab-to/indra on GitHub A short preview, not the full document.

Read the full README ↗ · Preview checked 2026-10-30T12:33:30.383Z

Inside the original README — Document outline
  1. Indra OCR
  2. Try Datalab's Managed Platform
  3. Quickstart
  4. Examples
  5. License
  6. Commercial usage
  7. Installation
  8. Usage
  9. CLI
  10. From python
  11. Viewer
  12. Output

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Documentation belongs to its respective authors. Reported project/model license: Apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

What this repository does

Fast CPU OCR: line detection, CTC recognition, reading order, markdown

Repository facts

Owner
datalab-to
Primary language
Python
Stars
780
Forks
69
Open issues + pull requests
5
License
Apache-2.0
Archived
No
Default branch
main
Created
2026-10-13T11:07:11.000Z
Last push
2026-10-20T01:40:36.000Z

Topics and intended use

Owner-supplied topics: ai, cpu, document-parsing, ocr, onnx, pdf

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Source: GitHub. Metadata observed 2026-10-20T12:10:44.478Z. Daily imports are snapshots, not real-time monitoring.

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