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How to automate data entry from business documents?

Manual data entry from PDFs, contracts, statements, and forms slows operations. TextMine extracts fields, routes review, creates records, and syncs approved data into downstream systems.

Automate document data entry

What is document data entry automation?

Document data entry automation replaces manual rekeying with extraction, review, approval, and system sync. TextMine can capture fields from business documents and keep each value linked to the source evidence.

An illustration of data being extracted from documents

Where does manual entry create risk?

Teams often copy values from PDFs, contracts, supplier forms, invoices, credit packs, and reports into spreadsheets or business systems. Errors create reporting issues, duplicate work, and weak audit trails.

an illustration of documents

How does TextMine automate it?

Vault extracts candidate values, Playbooks apply rules, Workflows route low-confidence fields, Records store approved values, and Integrations send clean data into downstream systems.

an illustration of vault extracting data from contracts and answering questions about them

Example data entry workflow

A team uploads supplier documents, extracts payment terms and renewal dates, reviews exceptions, creates approved records, and syncs the data into procurement and finance systems.

Document sources
PDFs, contracts, forms, statements, reports
Extracted data
Dates, parties, amounts, terms, statuses
Review gate
Low confidence and high-risk fields
Approved output
Source-backed records
System sync
ERP, CRM, CLM, GRC, BI, API
Audit trail
Evidence, reviewer, confidence, workflow status
Best fit
Operations teams with repeated document entry
Document sources
PDFs, contracts, forms, statements, reports
Extracted data
Dates, parties, amounts, terms, statuses
Review gate
Low confidence and high-risk fields
Approved output
Source-backed records
System sync
ERP, CRM, CLM, GRC, BI, API
Audit trail
Evidence, reviewer, confidence, workflow status
Best fit
Operations teams with repeated document entry

Example data entry workflow

A team uploads supplier documents, extracts payment terms and renewal dates, reviews exceptions, creates approved records, and syncs the data into procurement and finance systems.

Document sources
PDFs, contracts, forms, statements, reports
Extracted data
Dates, parties, amounts, terms, statuses
Review gate
Low confidence and high-risk fields
Approved output
Source-backed records
System sync
ERP, CRM, CLM, GRC, BI, API
Audit trail
Evidence, reviewer, confidence, workflow status
Best fit
Operations teams with repeated document entry
Document sources
PDFs, contracts, forms, statements, reports
Extracted data
Dates, parties, amounts, terms, statuses
Review gate
Low confidence and high-risk fields
Approved output
Source-backed records
System sync
ERP, CRM, CLM, GRC, BI, API
Audit trail
Evidence, reviewer, confidence, workflow status
Best fit
Operations teams with repeated document entry

Product map

Match each document job to the right TextMine surface

These guides can mention several products because enterprise document work rarely stops at extraction. Use this map to see how review, evidence, orchestration, records, rules, and system handoff fit together.

WorkbenchReview documents, compare files, ask questions, and produce source-aware outputs.VaultExtract document facts and keep every answer tied to source evidence and review state.WorkflowsRoute exceptions, approvals, evidence requests, remediation tasks, and handoffs.RecordsTurn approved findings into governed records for search, reporting, export, and sync.PlaybooksCodify policies, review criteria, templates, and acceptable positions.IntegrationsSend verified document context into agents, APIs, CRMs, ERPs, and compliance tools.

Map TextMine to your document workflow

Tell us what you are trying to review, extract, route, or report on. We will show which TextMine products fit your process, from Workbench and Vault through Workflows, Records, Playbooks, and Integrations.

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