Turn messy documents into clean AI-ready context.

Upload PDFs, DOCX, PPTX, Markdown notes, HTML exports, or ZIPs. FileDigest extracts text, keeps source boundaries visible, and gives you a Markdown digest plus metadata you can use with ChatGPT, Claude, RAG, or analyst workflows.

Start processing documents See real example output

Private upload

Files stay behind authenticated storage.

Clear output

Review the digest and metadata before reuse.

Full workflow

Upload, process, review, download, and clean up.

Public demo packet

Real source files

Completed

Earth_Lithograph.pdf

NASA PDF

Parsed

ffc.docx

CC0 DOCX

Parsed

ffc.pptx

CC0 PPTX

Parsed

mdn-beginner-html-index.html

CC0 HTML

Parsed

good-readme-template.md

CC0 Markdown

Parsed

Files

PDF

+ Office

Raw

Outputs

Prepared context preview

digest.mdOpen output

# FileDigest Context Pack

## Source Index
| ID | File | Pages | Status |
| S001 | 001_Earth_Lithograph.pdf | 2 | parsed |
| S002 | 002_ffc.docx | 0 | parsed |
| S003 | 003_ffc.pptx | 1 | parsed |
| S004 | 004_mdn-beginner-html-index.html |  | parsed |
| S005 | 005_good-readme-template.md |  | parsed |

Files processed: 5/5

### Extracted Content
The digest preserves source boundaries and readable text for review.

manifest.jsonView output

{
  "job_id": "6c3bb00a60bf4d92b4776ebcaa9eb0ec",
  "engine": "Modal L4 + Docling",
  "processing_mode": "fast_text",
  "total_files": 5,
  "parsed_files": 5,
  "failed_files": 0,
  "warnings": []
}

Processing path

How it works

The path is simple: upload a packet, let FileDigest prepare it, review the result, then export clean context for your AI workflow.

Upload

Drop in PDFs, DOCX, PPTX, notes, HTML exports, or ZIPs.

Process

FileDigest extracts text and prepares clean context server-side.

Review

Inspect the prepared digest before using it with AI.

Download

Export clean Markdown and structured metadata through private links.

Use cases

Document workflows FileDigest serves first

Three practical workflows, each built around source material that needs cleanup before AI work.

Research analysts

Prepare papers, chapters, and appendices before synthesis or literature review.

Consulting analysts

Prepare decks, reports, exports, and notes before synthesis or memo drafting.

AI builders

Prepare folders for RAG, agent context, evaluation, and prompt packets.

Examples

Inspect real public inputs and the raw generated output.

Examples

See what a finished packet looks like

Start with a real public demo packet, then compare the security notes and processing path.

Public example packet

Download real public inputs plus the raw digest.md and manifest.json generated from them.

Production demo run

Review the live upload, processing, private download, and cleanup path used for the demo.

Security model

See how uploads, ownership checks, signed downloads, retention, and subprocessors work.

Built for private document workflows

The product handles authentication, private uploads, plan limits, billing, job history, and signed downloads before processing starts.

Direct private uploads: Files upload to private paths owned by the signed-in user instead of being exposed through public links.
Limits before processing: File count, job size, OCR access, and token quotas are checked before heavy processing starts.
Private downloads: Prepared outputs are served through short-lived signed URLs and ownership checks instead of public bucket links.

Upload

Private source files

Process

Server-side extraction

Review

Inspect prepared context

Download

Signed output links

Private context bundle

clean digestsource metadatadownload links