Infoveave Data Automation — Document Parsing
Scanned PDF in. Machine-readable, structured data out. Driven by OCR.
Millions of business documents exist only as scanned images — paper invoices photographed and emailed, historical records digitized from archives, forms filled out by hand and scanned for compliance. Without OCR automation, these documents require manual transcription — which is slow, expensive, and error-prone. Extract OCR from PDF applies optical character recognition to scanned and image-based PDFs, converting visual text into structured data directly inside the workflow pipeline.
Apply optical character recognition (OCR) to extract text and tabular data from scanned or image-based PDFs inside your Infoveave workflow. Convert scanned invoices, forms, and records into actionable structured data without manual transcription.
Extract OCR from PDF is one step inside a multi-step Infoveave workflow. Chain it with other activities — no code, no manual hand-offs.
Build this workflow visually in Infoveave Data Automation — drag, connect, and schedule with no infrastructure setup.
Real scenarios where this transformation saves hours of manual work.
Patient intake forms returned as scanned PDFs are processed by Extract OCR from PDF. The activity reads handwritten and typed fields — name, DOB, medications — converting each form into a structured record that populates the EHR system for the intake staff without manual re-entry.
Thousands of scanned invoices from a legacy filing cabinet are being migrated to a digital AP system. Extract OCR from PDF processes each invoice in bulk, extracting vendor, amount, and date fields that are loaded into the accounts payable database.
Signed contracts returned by clients as scanned PDFs need to be searchable and have key fields extracted for the contract management system. OCR extraction captures effective dates, party names, and clause references from each scanned agreement.
Input data (left) is transformed using the configuration below. The output table (right) is ready for dashboards or downstream steps.
12Input Data
| Scanned PDF content (visual) |
|---|
| [Page 1 image] INVOICE - Vendor: Acme Co - Total: $1,250 |
| [Page 2 image] Terms and conditions text... |
Output Data
| Page | ExtractedText | StructuredField | Value |
|---|---|---|---|
| 1 | INVOICE - Vendor: Acme Co - Total: $1,250 | Vendor | Acme Co |
| 1 | INVOICE - Vendor: Acme Co - Total: $1,250 | Total | 1250.00 |
Key fields to configure in the Infoveave workflow builder. Full reference available in the documentation.
Start Page
The page number from which OCR processing begins. Use page 1 to process from the beginning, or specify a higher page number to skip cover pages or sections that do not contain relevant data.
End Page
The last page to process with OCR. Specify -1 or leave blank to process all pages to the end of the document. Limiting the page range reduces processing time for large documents where only specific pages contain data.
Everything you need to know about Extract OCR from PDF in Infoveave.
Transformations in the same family as Extract OCR from PDF, often chained together in the same Infoveave workflow.
Part of Infoveave Data Automation
Extract OCR from PDF is one of over 80 transformation activities available inside Infoveave workflows. Chain transformations together — no code, no exports, no waiting for IT.
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