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.
Extract structured data from your Invoices
AutoDocParse extracts and validates every field with confidence scores and a built-in review queue — then export as JSON, CSV, XML, or Excel, sync to Google Sheets, or push to your ERP and product via API and webhooks.
AutoDocParse workspace
Source document
ItemQtyRateAmount
Extracted output
JSONCSVXMLXLSX
{
"vendor": "Acme Supplies",
"invoice_no": "INV-20481",
"total": 4820.00,
"confidence": {
"vendor": 0.98,
"total": 0.96
},
"status": "approved"
}Used by finance, logistics, and operations teams
Finance teamsLogistics opsAP automationSaaS platformsAccounting firmsShared servicesFinance teamsLogistics opsAP automationSaaS platformsAccounting firmsShared services
The real cost
Manual document processing is more expensive than you think
Whether you're a 10-person startup or a shared services team, typing data from PDFs into spreadsheets and ERPs burns hours — and real money — every month.
Finance & shared services teams processing hundreds of documents daily
Manual workflow
The manual way (~2,000 invoices / month)
- Download PDFs from email or vendor portals
- Open each file and type line items into Excel or the ERP
- Manually match invoices to purchase orders
- Chase approvers when fields are missing or unclear
- Re-key corrected data after vendor layout changes
- File documents and update tracking spreadsheets
Slow turnaround
AP clerks spend 8–12 minutes per invoice on average — before exceptions.
Costly errors
Manual entry causes duplicate payments, wrong GL codes, and rework cycles.
No visibility
Managers can't see bottlenecks until month-end close is already behind.
Time drain
Hours wasted
267–400
hours spent on data entry every month
15–25%
of that time lost to corrections & rework
$8,500–$12,800
in monthly labor cost alone
Based on 2,000 invoices at 8–12 min each and a $32/hr fully loaded AP rate.
Hidden costs on top of that
- Late-payment fees and missed early-pay discounts
- Audit prep and compliance documentation
- Overtime during month-end close
With AutoDocParse
How AutoDocParse changes the workflow
- Documents arrive via email, upload, or API — extraction starts automatically
- High-confidence fields post straight to your ERP via webhook
- Only 10–20% of documents need human review, not every line item
- Drift detection alerts you before a vendor format change creates bad data
Your estimated savings with AutoDocParse
Hours back each month
190–320
saved every month on labor
$6,400–$10,200
Projected annual savings
$76,800+ / year
Most teams recover AutoDocParse subscription cost within the first 2–3 weeks.
Estimates use industry-average processing times and loaded labor rates. Your actual savings depend on document volume, complexity, and current workflow.
Document parsers
Parsers tuned for real document layouts
Each parser handles a specific document type — with field-level confidence and review built in.
Invoice Parser
- Extracts vendor, line items, tax, and totals automatically
- Validates against PO with 2- or 3-way matching rules
- Flags duplicates, anomalies, and policy breaches
- Routes low-confidence fields to human review
- Exports clean JSON to your ERP or accounting system
Integrations
Webhooks
Processing pipeline
- 1Classification
- 2Field extraction
- 3Confidence scoring
- 4Review routing
Use cases
Where teams put AutoDocParse to work
One workspace for AP clerks, logistics coordinators, and compliance teams — each workflow gets its own parser schema, confidence rules, and export path.
Turn messy scans into fields you can trust
PDFs, phone photos, and multi-page scans all land in one inbox. AutoDocParse detects regions, maps them to your schema, and only sends uncertain values to review — so your team stops retyping tables by hand.
- Vendor onboarding packets & W-9 folders
- Contracts with tables, exhibits, and riders
- Packing slips, BOLs, and customs forms
- Email attachments batched from shared inboxes
Schema mapping preview
Doc type
Party name
Logo / stamp
Reference no.
Body text
Line-item table
Platform
Eight capabilities that run document ops end to end
Extraction, quality control, delivery, and monitoring — not a patchwork of OCR tools and spreadsheets.
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.
Pipelines
Wire document workflows like n8n — inside AutoDocParse
Every parser gets its own visual pipeline. Connect triggers, conditions, and destinations on a drag-and-drop canvas so parsed data moves automatically — no Zapier scripts, no cron jobs, no one-off integrations.
Visual canvas per parser
Drag nodes, connect steps, and insert logic between any two blocks — the same way you'd wire an n8n workflow, without leaving AutoDocParse.
Parse-aware triggers
Start a pipeline when a document finishes parsing or when a reviewer approves it. Every run is tied to real extraction output.
Branch on field values
Add filter nodes on confidence scores, amounts, vendors, or any extracted field — route high-confidence rows downstream, hold the rest.
Test before you go live
Run the pipeline against a parsed document in your workspace and inspect each step before enabling it for production traffic.
Filter / conditionsDuplicate detectionGoogle SheetsGoogle Drive exportDropbox (coming soon)
Invoice AP pipeline
Parser automation · Enabled
Document parsed
When parsing completes
Filter / condition
Confidence ≥ 90%
Duplicate check
Invoice # + vendor
Google Sheets
Append row to AP ledger
Google Drive
Save CSV + JSON export
On parse complete
Fire as soon as extraction finishes
On review approved
Run only after a human signs off
Test run
Dry-run against a real document
Industries
Document parsing built for your industry
Teams in finance, logistics, healthcare, and more use AutoDocParse to turn high-volume documents into data they can act on.
- Accelerate AP posting
- Simplify ledger matching
- Spot duplicate payments
- Ensure workflow accuracy
- Capture audit trails
- Speed up reconciliation
- Cut manual data entry
- Close books faster
NE
QU
SA
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AutoDocParse
Automate invoice intake, validate against POs, and route exceptions to your AP team before posting to the ledger.
Invoice approval workflow
- 1Document intake & classification
- 2Field extraction & PO matching
- 3Approval routing & ERP sync
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.
Customers
How teams use AutoDocParse
Real outcomes from teams that replaced manual entry and brittle OCR scripts.
Logistics
Cut invoice processing time by 70% with confidence-scored extraction.
Regional logistics firm
Talk to usFinance
Auto-approved 80% of vendor invoices and routed exceptions to review.
B2B marketplace
Talk to usSaaS
Caught a vendor layout change before bad data hit production.
Fintech startup
Talk to usFinance
Replaced manual OCR scripts with a single review queue.
Accounting practice
Talk to usSecurity
Built for teams that need control
Role-based access, audit logs, and encrypted storage — so finance and operations teams can deploy with confidence.
SOC 2 alignedGDPR readyEncrypted at restRole-based accessAudit loggingWebhook signatures
Pricing
Pay once, parse when you need to
Start free with 20 credits per month. Buy credit packs when you're ready — no subscription.
Testimonials
What customers say
Finance, operations, and engineering teams use AutoDocParse to cut manual work and ship cleaner data.
“We replaced a patchwork of OCR scripts and spreadsheets. Review queue alone saved our AP team hours every week.”
“Confidence scores let us auto-post 80% of invoices and only review the long tail. Webhooks into our ERP were straightforward.”
“Drift detection caught a vendor layout change before it polluted our database. That paid for the subscription immediately.”
FAQ
Frequently asked questions
Quick answers about credits, security, and how AutoDocParse fits your workflow.
What file types does AutoDocParse support?+
PDF, PNG, JPEG, TIFF, WebP, Word (.docx), Excel (.xlsx), and email (.eml). Upload up to 25 MB per file on all plans.
How do credits work?+
One credit equals one page processed. Failed parses do not consume credits. Growth, Pro, and Scale plans can roll over up to 20% of unused monthly credits.
Can I use AutoDocParse without a developer?+
Yes. Operators can upload documents, manage parsers, work the review queue, and export results. Developers can integrate via REST API and webhooks when you're ready.
Is my data secure?+
Documents are stored in encrypted object storage with workspace isolation. Enterprise plans support SSO, self-hosting options, and custom DPAs.
How does AutoDocParse compare to Parseur or Docparser?+
AutoDocParse includes AI confidence scoring, review queues, team workspaces, and automations at competitive per-document pricing — often 3× more volume at the same monthly price.
Start parsing documents this week
Upload your first document, define a schema, and see confidence-scored extraction in minutes.
Launch directories
Find AutoDocParse on launch platforms
We're listed on product launch directories — your feedback and upvotes help us reach more finance and operations teams.
