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GitHub - revdoku/revdoku: Revdoku: Open-source AI document review. Self-host or use the cloud. Compatible with local and cloud LLMs.
eummm · 2026-05-01 · via Hacker News - Newest: "AI"

Revdoku

Revdoku is an open-source AI-powered platform for reviewing important documents.

Hosted License: AGPL-3.0 Ruby Node

Revdoku is an open-source AI-powered platform for reviewing important documents. It automates line-by-line checks against the rules your team defines, compares data to your reference values, runs custom scripts, and highlights mismatches for review.

Demo video

revdoku-demo.mp4

Features

  • Pinpoint review against your checklists. Each rule lands a highlight on the exact line, number, or clause it flags.
  • Cross-document checks. Attach a quote, an amendment, or a policy and the AI checks across them.
  • Revision-aware. Upload a new version; Revdoku tracks what changed and what you've already reviewed.
  • No issue forgotten. Past failed checks carry forward to the next revision automatically.
  • Add Manual Issues and Per Document Rules add per document (envelope) rules and checks (re-checked in new revisions automatically).
  • Security Documents and sensitive data are encrypted with 256-bit AES.
  • Shareable reports. Export PDF or HTML with every finding rendered inline, or create public share links for frozen report snapshots.
  • Custom Scripts. Run custom scripts over found values for additional analysis like counting, sum by categories and more.
  • Cloud or Local LLM Connects to cloud AI or local LLM for full privacy.
  • Upload via Email Send documents to special per-account email address and documetns are automatically uploaded to your account.

Sharing reports

Core includes public /shared/<token> report links out of the box. Set SHARE_REPORT_ENABLED=false to disable sharing instance-wide. Without AWS_S3_SHARED_BUCKET, self-hosted installs store shared snapshots on local disk under storage/shared_reports/.

Hosted version is available at www.revdoku.com.


See it in action

Drop a document, run a checklist, read the report.

▶ Watch all demo walkthroughs  (click to expand)

Invoices

Demo What it shows
Invoice review
Invoice review
Drop an invoice in, run the Invoice Review checklist with Google Gemini, and read the issues and passes the AI surfaces.
Verify invoice vs agreement
Invoice vs. legal services agreement — track revisions
Paste the agreement, generate a compliance checklist, run review on the invoice, then upload a corrected revision and confirm all checks pass.
Detect changes between revisions
Detect changes between document revisions
Upload v1 of an invoice, run review, then upload v2 and let Revdoku surface every field-level change — terms, amounts, dates, and account numbers.
Expense categorization
Categorize an expense report
ADVANCED. Tag every line item with the Expense Categorization checklist, then use a custom script to produce a per-category spending breakdown.

Legal & contracts

Demo What it shows
Mutual NDA review
Mutual NDA review
Upload a mutual NDA, attach the NDA & Confidentiality Agreement Review checklist, run review with Google Gemini, and read the resulting issues and report.
Residential lease review
Residential lease review
Attach the Lease Agreement Review checklist, run review, and read page-1 / page-2 issues plus the final report.
MSA clause compliance
Master Services Agreement — clause compliance
Audit an MSA against a required-clause checklist; missing clauses are flagged with their location in the document.
Defined terms extraction
Software License — extract defined terms
Pull every defined term from a Software License and Services Agreement so Section 1 can be audited at a glance.
Party references count
Joint Venture Agreement — party reference count
Count every reference to each party in a multi-page JV agreement, mapping every mention back to its spot in the PDF.

Healthcare

Demo What it shows
ICD-10 tally
Tally ICD-10 diagnosis codes
Pull every ICD-10 diagnosis code out of a clinical note and tally how many times each one appears.
Medication count by drug class
Count medications by drug class
Tally medications on a patient record by drug class, surfacing interaction flags from the clinic's pharmacy note.
Vital signs extraction
Extract vital signs
Extract triage and post-treatment vital signs from a clinical note, flagging abnormal readings and tying each value back to its source row.

Marketing & Content

Demo What it shows
Brand guideline check
Check an ad against brand guidelines
Paste your brand guide to generate a compliance checklist, run review on the ad, then upload a revised version and let Revdoku re-check the prior issues automatically.
AI writing detection
Detect AI writing in a blog post
Run a one-line prompt to generate a 6-rule AI-writing-detection checklist, then review the blog post for repetitive structures, shallow content, and factual inaccuracies.
Resume review
Resume review
Run the Resume & CV Review checklist on a resume PDF and read the issues the AI finds — missing contact fields, inconsistent date formats, and more.
Brand guideline check
Check an ad against brand guidelines
Paste your brand guide to generate a compliance checklist, run review on the ad, then upload a revised version and let Revdoku re-check the prior issues automatically.
Presentation Review Against Checklist
Investor letter — Warren Buffett-style checklist
Generate a value-investing checklist from a single-line Buffett prompt, run it against Nebius Group's Q4 2025 letter to shareholders, and read the per-rule pass/fail report.

Photo inspection

Demo What it shows
Hand-drawn chart extraction
Extract data from a hand-drawn chart
Upload a chart image, run an AI checklist to read every data point, then use a built-in script to deduplicate and list the extracted values.
Utility pole count
Count wires and insulators on utility poles
Count energized conductors and insulators on each of four utility-pole inspection photos, producing per-pole totals with highlighted regions.

Full playlist on YouTube → https://www.youtube.com/playlist?list=PLoSGpfRUg7ywQ7kbEiCuXNI5nN-CRxbZe


Quick start

Revdoku workks on macOS, Linux, and Windows (via WSL).

You'll need

  1. Open a terminal.

    • macOS → Terminal app
    • Windows → Start menu → "WSL" (install with wsl --install in PowerShell if you haven't)
    • Linux → any terminal
  2. Clone and enter the repo:

    git clone https://github.com/revdoku/revdoku.git
    cd revdoku
  3. Create your config file:

    You will need to copy sample config file (env.example) and set your own values.

    First, copy sample config into a new file .env.local

    cp env.example .env.local

    Note: the filename starts with a dot that makes it hidden in some file managers. Use ls -la in the terminal, or enable Show hidden files in your file browser to see it.

  4. Open .env.local in any plain-text editor (VS Code, Cursor, TextEdit, Notepad) and fill in every line marked [REQUIRED].

Step-by-step instructions are inside the file, including the openssl commands that generate the four random secrets.

In most cases you can edit file using the command code .env.local and it will open this file in you favorite code editor.

Note: if you type code . and press Enter it will open the whole folder for editing and you will be able to edit any file in that folder.

  1. Start it:

    ./bin/start

    This will:

    • check if config file is available and set up
    • check if it can download pre-built latest docker image from Github (from ghcr.io/revdoku/revdoku:latest). May take few minutes, be patient.
    • if not, it will rebuild the docker image. May take few minutes, be patient.
  2. Finally open http://localhost:3000 and sign in with the admin login and password, the same that you've set to REVDOKU_BOOTSTRAP_ADMIN_EMAIL and REVDOKU_BOOTSTRAP_ADMIN_PASSWORD in .env.local on Step 4.

  3. To connect to AI, set up API keys for your favorite AI providers in inside the app in Account → AI → Providers. Supported providers:

    • Open AI <openai.com>
    • Google Cloud <cloud.google.com>
    • OpenRouter <openrouter.ai>. IMPORTANT: DO enable zero-data retention (ZDR) in https://openrouter.ai/settings/privacy and disable training to avoid your documents and files being captured by AI providers)
    • Local LLM (LM Studio, Ollama and others)
    • Custom LLM providers

Note for power users: to rebuild from source instead of pulling the prebuilt docker image use:

./bin/start --build

Configuration

All configuration is environment variables.

See env.example for the complete list with inline docs


Security

  • All uploaded files and sensitive data fields in the database are encrypted at rest with AES-256-GCM encryption using LOCKBOX_MASTER_KEY defined in .env.local. SQLite uses WAL mode.
  • Users may setup 2-factor authentication for signing in.
  • Logs are created and available in /logs
  • No telemetry.

For enhanced security, HIPAA (BAA) please consider hosted version at www.revdoku.com

Report issues privately: security@revdoku.com please, don't open a public GitHub issue.


Contributing

Bug reports and PRs welcome! For larger changes, open a GitHub Discussion first so we can align on scope.


License

Revdoku is open source, licensed under the GNU Affero General Public License v3 (AGPLv3) — see LICENSE. A commercial license is also available; contact sales@revdoku.com.


Hosted version: https://revdoku.com · Issues & bugs: https://github.com/revdoku/revdoku/issues