ThinkParse
Multimodal parsing.
Enterprise-grade document parsing built on MinerU and Celery with async queue processing—the structured ingestion foundation for ThinkDoc and ThinkExtract.
curl -X POST "http://localhost:8000/api/v1/tasks/submit" \
-F "file=@document.pdf" \
-F "backend=pipeline" \
-F "lang=ch"Structured by design
Layout-aware parsing for complex documents—so downstream knowledge and extraction steps start from clean structure, not noisy text.
Multimodal inputs
Bring scans, photos, mixed layouts, and tables—powered by the MinerU engine for real-world document chaos.
Tables & layouts
Recover tables, headings, and reading order for reliable downstream schema mapping.
Downstream-ready
Outputs align to the ThinkDoc / ThinkExtract pipeline—so teams don’t rebuild parsing at every layer.
Parsing that
preserves meaning
Multimodal document understanding: keep structure, recover semantics, and prepare evidence for knowledge systems.
Multimodal understanding
Handle PDFs, embedded images, and tricky scans while preserving the cues humans use to interpret a page.
Layout & reading order
Reconstruct titles, sections, tables, and sidebars so retrieval and extraction operate on the right units.
Structured outputs
Emit clean Markdown / JSON-friendly structures that slot into ThinkDoc knowledge graphs and ThinkExtract schemas.
Built for production pipelines.
Finance, manufacturing, science, policy, and internet-scale programs—where parsing quality determines everything downstream.