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indra

Transform unstructured content into precise, production-ready data. Datalab equips organizations to feed AI systems and automate workflows with dependable, audit-ready data.

112Today’s rankDown 27 places since yesterday

indra launched on 13 October 2026. It ranked #112 on Daily Launch on 30 October 2026 with a Launch Score of 18, from +58 stars today on GitHub. It moved down 27 places from the day before.

Visit site58 stars on GitHub today
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What is indra?

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 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.

From its README on GitHub

indra is a repo by datalab-to on GitHub. It is written in Python and released under the Apache-2.0 license.

How to get indra

pip install indra-ocr

From its README on GitHub

More steps and the source are in its repository on GitHub.

Screenshot of datalab.to

Screenshot of datalab.to

In its own words

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

From its GitHub repository

1M param OCR model - runs on CPU, 15x faster than tesseract, close to 1B+ param models in accuracy

From its GitHub repository

Launch timeline

  1. GitHubRepository created

  2. GitHub618 stars in 5 days, ranked #57 on Daily Launch

  3. GitHub+113 stars, ranked #61 on Daily Launch

  4. GitHub+103 stars, ranked #87 on Daily Launch

  5. GitHub+97 stars, ranked #84 on Daily Launch

  6. GitHub+100 stars, ranked #83 on Daily Launch

  7. GitHub+93 stars, ranked #85 on Daily Launch

  8. GitHub+58 stars, ranked #112 on Daily Launch

Launch Score, last 7 days

05010024 Oct: 024 Oct25 Oct: 025 Oct26 Oct: 026 Oct27 Oct: 2727 Oct28 Oct: 2728 Oct29 Oct: 2729 Oct30 Oct: 1830 Oct18 today
Launch Score, 0 to 100. Days it was not ranked show 0.

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