Your project is on StackMap — a curated map of the AI stack

Hi — I curate StackMap, a hand-curated knowledge graph of open-source AI/agent tools. Every entry is human-reviewed: a summary, an opinionated note on when to use it (and when not), and typed edges to what it pairs with or competes against — with the why written down.

chandra earned a place on the map:

• Your page: https://stackmap.shipwithai.xyz/repos/datalab-to/chandra
• On the graph: https://stackmap.shipwithai.xyz/?focus=chandra

How we mapped it:

• alternative to olmocr — Head-to-head open OCR-VLM rivals on the same benchmark (Chandra 2 scores 85.8 vs olmOCR 2's 82.4). olmOCR is fully permissive and tuned for LLM-training-data linearization; Chandra leads on handwriting/forms/multilingual but carries an OpenRAIL-M weights license.
• alternative to unlimited-ocr — Both are open OCR vision-language models. Baidu's model bets on one-shot long-horizon parsing of entire multi-page documents; Chandra processes per-page with stronger layout/table/form structure and a broader language benchmark.
• alternative to mineru — Overlapping document-to-markdown job at different layers: MinerU is a full parsing pipeline (layout analysis + OCR + export) you deploy as tooling; Chandra is the single end-to-end OCR model you'd slot into such a pipeline.

If any of this misrepresents the project — an edge you'd dispute, a sharper "when NOT to use" — reply here and a human fixes it. And feel free to just close this issue; it's only a heads-up.