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How to convert documents into machine-readable data?

Convert digitized documents into machine-readable data for document databases, text analytics, knowledge graphs, vector search, and workflow automation.

Make documents machine-readable

What does machine-readable document data mean?

Machine-readable data is structured enough for systems, workflows, dashboards, and agents to use. For business documents, it should also be source-backed and reviewed.

An illustration of data being extracted from documents

Why are documents hard to use as data?

Contracts, PDFs, scans, reports, and policies contain valuable facts, but their structure varies. TextMine helps convert those facts into consistent fields and records.

an illustration of documents

How does TextMine create machine-readable outputs?

Vault extracts facts, Records define the schema, Workflows route review, Playbooks apply rules, and Integrations activate approved data in external systems.

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

Example machine-readable output

A supplier agreement becomes a record with renewal date, payment terms, data processing position, audit rights, insurance obligation, and source clause references.

Source document
PDF, contract, report, policy, scan
Extraction
Fields, clauses, tables, dates
Schema
Business object and allowed values
Evidence
Source, confidence, reviewer state
Record
Approved machine-readable output
Activation
Workflow, API, system sync
Governance
Auditability and permissions
Source document
PDF, contract, report, policy, scan
Extraction
Fields, clauses, tables, dates
Schema
Business object and allowed values
Evidence
Source, confidence, reviewer state
Record
Approved machine-readable output
Activation
Workflow, API, system sync
Governance
Auditability and permissions

Example machine-readable output

A supplier agreement becomes a record with renewal date, payment terms, data processing position, audit rights, insurance obligation, and source clause references.

Source document
PDF, contract, report, policy, scan
Extraction
Fields, clauses, tables, dates
Schema
Business object and allowed values
Evidence
Source, confidence, reviewer state
Record
Approved machine-readable output
Activation
Workflow, API, system sync
Governance
Auditability and permissions
Source document
PDF, contract, report, policy, scan
Extraction
Fields, clauses, tables, dates
Schema
Business object and allowed values
Evidence
Source, confidence, reviewer state
Record
Approved machine-readable output
Activation
Workflow, API, system sync
Governance
Auditability and permissions

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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