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Chandra alternatives

Models that cover what Chandra does, closest first. All of them take the same request, so trying one is a one-word change.

1
Qwen-VLComing soon

Alibaba's open-weight vision language models (Qwen2.5-VL, Qwen3-VL). Strong general OCR and grounding.

TablesHandwritingMathBounding boxesMultilingual
2 credits / page
Chandra vs Qwen-VL
2
Azure Document Intelligence

Azure layout model with tables, selection marks and prebuilt invoice and ID readers.

TablesFormsHandwritingBounding boxesConfidenceMultilingual
3
Google Document AI

Google Cloud OCR with layout parsing and specialised processors.

TablesFormsHandwritingBounding boxesConfidenceMultilingual
4
DeepSeek-OCR

Open-source vision model that compresses pages into few tokens.

TablesMathBounding boxesMultilingual
1 credits / page
Chandra vs DeepSeek-OCR
5
PaddleOCR-VL

Open-source document model from Baidu. Excellent on Chinese, Japanese and Korean.

TablesMathBounding boxesConfidenceMultilingual
2 credits / page
Chandra vs PaddleOCR-VL
6
GLM-OCR

Small open-source OCR model from Z.ai with layout regions. MIT licensed.

TablesMathBounding boxesConfidenceMultilingual
2 credits / page
Chandra vs GLM-OCR

Dashed tags are things Chandra does not support. Model IDs: qwen/qwen-vl, azure/document-intelligence, google/document-ai, deepseek/deepseek-ocr, paddle/paddleocr-vl, zai/glm-ocr.

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