Core parsing
AI extraction with confidence scores
Define a schema once. AutoDocParse classifies each document, extracts every field, and scores confidence so you know exactly what to auto-approve.
Features
The full stack for production document operations
Parse, validate, review, and deliver — AutoDocParse replaces the manual steps between receiving a PDF and posting clean data to your systems.
ExtractionReviewPipelinesAPIExports
Quality control
Human review queue
Low-confidence fields route to a side-by-side review UI. Approve, correct, and publish — every action logged for audit.
Schema builder
Custom parsers per document type
Build parsers for invoices, POs, bank statements, or proprietary forms. Sample a document to bootstrap your schema in minutes.
Workflows
Visual pipelines & automations
Wire triggers, filters, and destinations on a drag-and-drop canvas. Run steps on parse complete or after review approval.
Integrations
API & signed webhooks
Push structured results to your ERP, data warehouse, or product. Webhooks fire on completion, failure, and review events.
Delivery
JSON, CSV, XML & Excel export
Download in the format your downstream systems expect, or sync directly to Google Sheets without writing export scripts.
Monitoring
Layout drift detection
Get alerted when a vendor changes their PDF layout so parsers stay accurate before bad data reaches production.
Collaboration
Team workspaces & roles
Organize parsers and documents by client, department, or business unit. Control who can review, approve, and configure.
Why AutoDocParse
Document parsing that finance teams actually trust
Generic OCR gives you text. AutoDocParse gives you structured, validated, reviewable data — with a clear path from inbox to your systems.
Trust every field before it posts
Most OCR tools dump raw text and hope for the best. AutoDocParse scores confidence per field and routes exceptions to review — so bad data never silently reaches your ERP.
Built for operators, not ML engineers
Finance and ops teams configure parsers, review queues, and pipelines without writing Python. Developers still get a full API when they need it.
Scales from pilot to production volume
Start with 50 invoices a month, grow to thousands. Same workspace, same review workflow, same export paths — no re-platforming when volume spikes.
One platform for intake through delivery
Upload, parse, review, export, and automate in a single product. No Zapier chains duct-taping OCR output to spreadsheets to webhooks.
Automate repetitive work
Stop doing the same six steps on every document
AP clerks, logistics coordinators, and bookkeepers repeat the same workflow dozens of times a day. AutoDocParse replaces the copy-paste loop with a parse → review → deliver pipeline that runs whether you process 20 documents or 2,000.
Typical team: 3–5 minutes per document manually → under 30 seconds with AutoDocParse on high-confidence fields.
Manual today
- 1Download PDF from email
- 2Open file and find the right fields
- 3Type data into Excel or ERP
- 4Email approver when something looks off
- 5Re-key corrections after vendor replies
- 6Upload final version to accounting system
With AutoDocParse
Email / Drive intake
Documents arrive and queue automatically
AI extraction + confidence
Fields populate without manual typing
Review queue
Only exceptions need a human — in one UI
Pipelines & webhooks
Approved data posts to ERP or Sheets on its own
Return on features
Every feature maps to hours and dollars saved
AutoDocParse isn't a feature checklist — each capability removes a specific manual step that costs your team time and money every month.
$3,200+
Typical monthly savings per AP clerk
Based on ~500 invoices/month at 4 min manual entry each, at a loaded labor rate of $38/hr. Your volume and rates will vary.
Confidence scoring + review queue
Up to 90% fewer data-entry errorsWithout it
Payment errors and rework from unchecked OCR output
With AutoDocParse
Catch bad fields before they post — fewer duplicate payments and ledger corrections
Custom parsers & drift alerts
Days of downtime avoided per layout changeWithout it
Hours rebuilding spreadsheets when a vendor changes their PDF layout
With AutoDocParse
Get notified when layouts shift so parsers stay accurate without surprise failures
Pipelines & webhooks
4–6 hours/week back per clerkWithout it
Staff manually exporting CSVs and uploading to ERP each afternoon
With AutoDocParse
Approved data flows to NetSuite, Sheets, or your API the moment review clears
Batch intake & team workspaces
2× throughput without adding headcountWithout it
One person becomes the bottleneck for every document type
With AutoDocParse
Distribute review across the team with role-based access and shared queues
How it works
From inbox to structured data in three steps
No ML team required. Operators and developers share the same workspace.
- Step 01
Upload or connect a source
Drag-and-drop PDFs and images, send email, or connect Google Drive. AutoDocParse accepts the formats your vendors actually use.
- Step 02
Parse with your schema
Choose a parser template or define fields. AI extracts values and assigns confidence scores field by field.
- Step 03
Review, approve, deliver
Auto-approve high-confidence results. Route exceptions to your team. Export JSON, sync to Sheets, or fire webhooks.
Use cases
Built for high-volume document operations
Whether you process hundreds or thousands of documents per month, AutoDocParse scales with your team.
Accounts payable
Extract vendor, line items, tax, and totals from invoices for ERP posting.
InvoicesPO matching
Logistics & customs
Parse bills of lading, packing lists, and customs forms at scale.
BOLPacking slips
Expense management
Capture receipt fields for reimbursement workflows with review on edge cases.
ReceiptsReview queue
SaaS onboarding
Let customers upload contracts or tax forms; deliver structured data via API.
APIWebhooks
See these features on your documents
Upload a sample invoice or statement and walk through extraction, review, and export in one session.