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docbatch.ai

Extract invoice, receipt, form and contract data from PDFs and images — at batch scale.

Pricing
Freemium
Free, Starter, Growth, Scale, Enterprise

About docbatch.ai

docbatch.ai is an AI-powered batch document processing platform that extracts structured data from PDFs and images, such as invoices, receipts, forms and contracts. It is built for teams that handle high volumes of paperwork and need results delivered as JSON, CSV or Excel files without paying real-time API rates. New users receive 20 free credits before buying a credit pack.

Users upload a sample document, and the system detects fields automatically from that example PDF or image. They define an extraction schema using natural language or visual selection, then upload the remaining files so the batch runs automatically at scale, from 10 to 10,000 documents per batch. Jobs run during off-peak hours, which is how docbatch.ai charges up to 50% less than direct, real-time AI processing.

Each document costs one credit to process, and docbatch.ai typically reaches 90 to 98 percent extraction accuracy on clear, well-formatted files, with every job given an accuracy score. The platform supports PDF files and JPEG, PNG, WEBP and GIF images, covering invoices, contracts, receipts, resumes, forms and medical records. Most jobs finish within one to two hours, with a maximum processing window of 24 hours, and users get an email notification when results are ready.

Pricing runs on credits rather than subscriptions: one credit equals one document, and credits never expire. Plans start with 20 free credits, then 1,000 credits for $24.90, 5,000 credits for $99.90, and 20,000 credits for $299.90, with custom volume pricing, a dedicated account manager and custom integrations such as ERP, CRM and webhooks for larger volumes. Files are encrypted in transit, processed in isolation, never used for model training, and deleted automatically after processing.

Use cases

  • Extracting structured data from invoices, contracts, receipts, resumes, forms and medical records
  • Running non-urgent batches overnight instead of calling real-time AI APIs
  • Processing large one-off batches, such as a quarter's worth of files

Key features

  • Extracts invoice, receipt, form and contract data from PDFs and images at batch scale
  • Auto-detects fields from an uploaded sample document
  • Visual or natural-language schema builder for what to extract
  • Batches from 10 to 10,000 documents
  • Exports results as JSON, CSV or Excel
  • Processes batches off-peak for lower cost than real-time APIs
  • Data never used for training and auto-deleted after processing
  • Per-job accuracy score
  • Supports PDF and common image formats

Pros and cons

Pros

New users get 20 free credits to try the platform
Credits never expire

Cons

Batch jobs can take up to 24 hours to complete

Pricing

Free
$0
  • 20 free credits
  • 20 documents included
  • All export formats
  • Full platform access
Starter
$24.90
  • 1,000 credits
  • Never expires
  • All export formats
Growth
$99.90
  • 5,000 credits
  • Never expires
  • All export formats
Scale
$299.90
  • 20,000 credits
  • Never expires
  • All export formats
Enterprise
Custom
  • Custom integrations
  • Dedicated account manager

Reviews

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Frequently asked questions

What is docbatch.ai and how does it work?
It is an AI-powered batch document processing platform that extracts structured data from uploaded PDFs and images using a visual schema builder, delivering results as JSON, CSV or Excel.
How much does it cost?
Each document costs one credit; new users get 20 free credits, and packs start at $24.90 for 1,000 credits.
What document types can it process?
PDF files and JPEG, PNG, WEBP and GIF images, covering invoices, contracts, receipts, resumes, forms and medical records.
How accurate is the extraction?
Typically 90 to 98 percent on clear, well-formatted documents, with an accuracy score on every job.
How long does processing take?
Most jobs complete in one to two hours, with a maximum window of 24 hours.
Is document data secure and private?
Documents are encrypted in transit and storage, processed in isolation, never used to train models, and deleted after processing.

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