1 link tagged with all of: open source + huggingface + indra ocr + ocr + document intelligence
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Indra OCR is a lightweight 1M-parameter model that converts PDFs and images to markdown, text, or JSON at 49 pages per second on CPU—roughly 12-24x faster than Tesseract and PaddleOCR. It handles layout detection, bounding boxes, and can read digital PDFs' text layers while OCRing only missing content.
- Speed and size: Processes 49 pages/second on CPU with ~230ms latency per page, weighs just 18MB, and uses ONNX Runtime instead of PyTorch
- Accuracy beats competitors: Scores 41.3 on OmniParseBench text (vs. PaddleOCR's 35.8 and Tesseract's 19.3) and 62.1 on headline score (vs. PaddleOCR's 58.4)
- Layout intelligence: Detects and labels blocks (headings, tables, lists, captions, footnotes) with bounding boxes and reading order, plus optional LaTeX math recognition
- Built for print documents: Not suitable for handwriting, complex tables, degraded scans, or scripts outside Latin/Cyrillic/Greek/Devanagari/Bengali/Chinese; Datalab offers Chandra model for these cases
indra ocr
document intelligence
ocr
open source
huggingface