FULL STORY
Indra: The 1M-Parameter OCR Model's Rise and Update
Datalab open-sourced Indra, a 1M-parameter OCR model running dozens of pages per second on CPU, followed by wide coverage and a 1.1 update.
2026-10-14 ~ 2026-10-20 · 3 episodes · 13 posts
Episode 1 · Datalab Open-Sources Indra, a 1M-Parameter OCR Model Hitting 49 Pages/sec on CPU (2026-10-14, 6 posts)
Datalab founder Vik Paruchuri open-sourced Indra, a tiny OCR model with only 1 million parameters that runs at 49 pages per second on CPU, claimed to be 11x faster than PaddleOCR and 17x faster than Tesseract. Weights are publicly available on Hugging Face with one-step pip installation, potentially lowering the compute barrier for large-scale document processing.
Confirmed
- Indra has 1M parameters and reaches 49 pages/sec on CPU; the author's benchmarks show it 11x faster than PaddleOCR and 17x faster than Tesseract, backed by OmniParseBench
- Supports 60 languages across 6 scripts, plus a math mode; targeted at low-latency CPU scenarios such as RAG ingestion, search indexing, and LLM front-end triage
- Available via Hugging Face weights (datalab-to/indra-ocr, openrail license, 18MB ONNX model), plus code and a blog post
- Easy to use: pip install indra-ocr; a local test tool indra-ocr-viewer lets users check recognition speed and parameter settings
- The author says Indra will keep improving, with plans for more languages and better accuracy
Why it matters
- Traditional OCR is slow on CPU; Indra delivers an order-of-magnitude speedup with a minimal parameter count, lowering compute costs for document digitization, RAG ingestion, and search indexing at scale
- Its 18MB size and pip-installable deployment make it easy to embed in production pipelines
- Datalab releases Indra, a 1M-param OCR model running 49 pages/s on CPU — VikParuchuri · 2026-10-14
- Indra OCR open-sourced: 18MB ONNX model, pip install, 14 languages — VikParuchuri · 2026-10-14
- Datalab releases Indra, a low-latency CPU OCR model with 60-language and math support — VikParuchuri · 2026-10-14
- Indra OCR ships with a local viewer to test speed and settings in two pip commands — VikParuchuri · 2026-10-14
- Indra OCR ships on pip with a built-in viewer to test speed and settings — VikParuchuri · 2026-10-14
- Indra: a 1M-parameter OCR model that runs 49 pages/s on CPU, 11x faster than PaddleOCR — soldni · 2026-10-14
Episode 2 · Indra: A 1M-Parameter Open OCR Model 15x Faster Than Tesseract (2026-10-16, 3 posts)
Datalab released Indra, an open-source OCR model with only 1M parameters that runs 15x faster than Tesseract on CPU while being more accurate, processing 49 pages per second and trending on Hugging Face.
- Open-source OCR model indra-ocr trends on Hugging Face with CPU support — datalab-to · 2026-10-16
- Indra OCR: 1M-parameter open model hits 49 pages/sec on CPU, 11-17x faster than Tesseract — VikParuchuri · 2026-10-17
- Indra: a 1M-parameter OCR model 15x faster than Tesseract on CPU — VictorSanh · 2026-10-17
Episode 3 · Datalab Releases Indra OCR 1.1: 1M-Parameter Model Runs 44 Pages/sec on CPU (2026-10-20, 4 posts)
Datalab released Indra OCR 1.1, a 1M-parameter OCR model that processes 44 pages/sec on CPU with no GPU required; it scores 71.4 on OmniParseBench with the --math flag, beating Tencent's 1.1B HunyuanOCR and approaching DeepSeek OCR 2.
- Datalab ships Indra OCR 1.1: 1M-param model does 44 pages/s on CPU, near DeepSeek OCR 2 accuracy — VikParuchuri · 2026-10-20
- Indra OCR lands on Hugging Face: ONNX-based, CPU-only, 80+ languages with layout output — VikParuchuri · 2026-10-20
- With --math flag, 12M-param Indra OCR scores 71.4 on OmniParseBench, beating HunyuanOCR's 64.6 — VikParuchuri · 2026-10-20
- Indra OCR 1.1 improves language support, adds handwriting, fixes rotation and layout bugs — VikParuchuri · 2026-10-20