Powered by Docling — preserves headings, tables, and structure

Compile your files into AI-ready context.

Upload PDFs, DOCX files, or folders. DocDigest turns them into one clean, structured, token-aware Markdown digest for Claude, ChatGPT, Gemini, Cursor, and RAG workflows.

Free tier · 3M tokens / month · No credit card

Before · messy

docling-technical-report.pdf5.3 MB · 9 pages
multi-column layoutacademic two-column
tables + figuresperf tables, 9 figures
code listingsinstall + usage snippets
references + appendixfull bibliography

After · digest.md (real output)

# DocDigest Output
Source: Docling Technical Report (arXiv)
Total tokens: 9,905 · Pages: 9
## Source 1 — docling-technical-report.pdf
> pdf · 5.3 MB · 9,782 tokens · ready
## 4 Performance
| CPU | Thread budget | native backend |…
Abstract → references, nothing cut offFull extraction →

Three reasons

A precise tool for serious AI work.

Combine files

Many files and formats — PDF, DOCX, Markdown, ZIP folders — become one coherent, source-aware output.

See token + structure clarity

File names, hierarchy, token counts, parsing status, warnings, and context-window fit — visible at a glance.

Improve quality

Docling preserves headings, tables, layout, and code blocks far better than copy-paste from a PDF viewer.

Outputs

Clean Markdown. JSON. RAG chunks.

Each digest ships with a full token report, parse warnings, and a quality score so you know exactly what you're feeding the model. Export anywhere.

  • Source headers preserved on every section
  • Per-file token counts for Claude, GPT-4o, and Gemini
  • Tables extracted as Markdown grids, not OCR mush
  • Optional raw Docling JSON for downstream tooling

After · digest.md (real output)

# DocDigest Output
Source: Docling Technical Report (arXiv)
Total tokens: 9,905 · Pages: 9
## Source 1 — docling-technical-report.pdf
> pdf · 5.3 MB · 9,782 tokens · ready
## Abstract
This technical report introduces Docling…
## 4 Performance
| CPU | Thread budget | native backend |…
## References · complete
Abstract → references, nothing cut offFull extraction →

FAQ

Common questions

Is this a chat-with-PDF tool?

No. DocDigest is a context preparation tool. It compiles your files into one clean Markdown digest you can paste into any LLM.

What about scanned documents?

Enable OCR in the advanced options. Pro and Business plans include high-accuracy OCR with confidence reporting.

Where do my files live?

Files are uploaded over TLS, processed in isolation, and deleted according to your retention setting (default: 7 days).

Can I export programmatically?

Business plans include API access. Generate digests, fetch artifacts, and stream results from your own code.