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Ragie vs PaddleOCR vs Docling

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Ragie vs PaddleOCR vs Docling, side by side
Ragieby RagieRemove Ragie from this comparisonPaddleOCRby PaddlePaddleRemove PaddleOCR from this comparisonDoclingby IBM Research / LF AI & DataRemove Docling from this comparison
Sets it apart—
  • No auth required
  • Official Baidu listing
  • Newest listing (added Sep 18, 2026)
  • No auth required
What it isRetrieval API for AI applications. Ingest PDFs, web pages, and files, then query with semantic search. Built-in chunking, embedding, and reranking pipeline.Converts documents, receipts, and images into structured data with OCR, layout analysis, and table recognition, exposed to agents via a Python API, CLI, and MCP server.Parses PDF, DOCX, PPTX, XLSX, HTML, audio, and image files into a unified DoclingDocument and exports Markdown, HTML, DocTags, or lossless JSON for gen-AI pipelines.
ProviderRagiePaddlePaddleIBM Research / LF AI & Data
Official vendorNot an official listingBaiduNot an official listing
VerifiedYesSame for all
AccessAPIAPI, MCP, CLIAPI, MCP, CLI
AuthAPI KeyNoneNone
MCP serverNo MCP serverRuns on your computeruvx --from paddleocr-mcp paddleocr_mcpIn its setup guide
CLI installNo CLIpippython -m pip install paddleocrIn its docs
API base URLIn its docsSame for all
SkillsIngest PDFs, DOCX, web pages, and 20+ file types into a managed retrieval pipeline, Chunk and embed documents automatically with state-of-the-art embedding models, Rerank candidate passages by relevance before returning results to your agent, Support multi-format documents including images with vision-based extraction, Sync document sources in real-time so your knowledge base stays up to dateText Recognition, Layout Analysis, Table Recognition, Document PipelinePDF Layout Understanding, Multi Format Parsing, Structured Document Export, VLM And ASR Pipelines, MCP And API Serving
StreamingNoSame for all
Push notificationsNoSame for all
CategoriesResearch & KnowledgeContent & Media, Data & AnalyticsContent & Media, Data & Analytics, Research & Knowledge
Tagsretrieval, rag, knowledge-base, semantic-search, document-ai, embeddingsocr, document-parsing, table-recognition, layout-analysis, pdf-extraction, computer-vision, baidupdf-understanding, table-structure-recognition, ocr, docling-document, granite-docling, vision-language-models, asr-transcription, langchain-integration
Listed sinceApr 8, 2026Sep 18, 2026Aug 1, 2026
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/compare?a=ragie&b=paddleocr&c=docling
3 listings side by side · "same" marks a row every column shares
listings
ragieapi—paddleocrapi+cli+mcpNo auth required; Official Baidu listing; Newest listing (added Sep 18, 2026)doclingapi+cli+mcpNo auth required
rows
descriptionRetrieval API for AI applications. Ingest PDFs, web pages, and files, then query with semantic search. Built-in chunking, embedding, and reranking pipeline. | Converts documents, receipts, and images into structured data with OCR, layout analysis, and table recognition, exposed to agents via a Python API, CLI, and MCP server. | Parses PDF, DOCX, PPTX, XLSX, HTML, audio, and image files into a unified DoclingDocument and exports Markdown, HTML, DocTags, or lossless JSON for gen-AI pipelines.
providerRagie | PaddlePaddle | IBM Research / LF AI & Data
officialNot an official listing | Baidu | Not an official listing
verified (same)Yes
accessAPI | API, MCP, CLI | API, MCP, CLI
authAPI Key | None | None
mcpNo MCP server | Runs on your computer: uvx --from paddleocr-mcp paddleocr_mcp | In its setup guide
cliNo CLI | pip: python -m pip install paddleocr | In its docs
api (same)In its docs
skillsIngest PDFs, DOCX, web pages, and 20+ file types into a managed retrieval pipeline, Chunk and embed documents automatically with state-of-the-art embedding models, Rerank candidate passages by relevance before returning results to your agent, Support multi-format documents including images with vision-based extraction, Sync document sources in real-time so your knowledge base stays up to date | Text Recognition, Layout Analysis, Table Recognition, Document Pipeline | PDF Layout Understanding, Multi Format Parsing, Structured Document Export, VLM And ASR Pipelines, MCP And API Serving
streaming (same)No
push (same)No
categoriesResearch & Knowledge | Content & Media, Data & Analytics | Content & Media, Data & Analytics, Research & Knowledge
tagsretrieval, rag, knowledge-base, semantic-search, document-ai, embeddings | ocr, document-parsing, table-recognition, layout-analysis, pdf-extraction, computer-vision, baidu | pdf-understanding, table-structure-recognition, ocr, docling-document, granite-docling, vision-language-models, asr-transcription, langchain-integration
addedApr 8, 2026 | Sep 18, 2026 | Aug 1, 2026
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