For Developers
Guides, tutorials, and real-world workflows for composable document and image processing.
Audit Trails for AI Document Workflows: What To Store
An AI document workflow needs more than logs. Store source records, schema versions, extracted values, approvals, generated outputs, and delivery events.
The Document Intake Contract Nobody Designs Until It Breaks
Reliable document workflows start before extraction. Define intake metadata, rejection reasons, grouping, source trust, and routing before files hit processing.
Large Document Packets Need Workflow Boundaries, Not Bigger Prompts
Large packets fail when teams process them as one document. Design request boundaries, schemas, review states, and outputs around the workflow object.
Document Provenance for API-First Workflows
You can build useful provenance with citations, schema versions, approved values, and generated artifact lineage before adding a full review UI.
Treat the LLM as a Document Worker, Not the Workflow Owner
LLMs are useful inside document workflows, but they should not own intake, state, validation, generated outputs, or customer-facing decisions.
Long Documents Fail Differently Than Large Batches
A 300-page file and 300 one-page files are different engineering problems. Design context, retries, review, and cost controls accordingly.
Form Extraction Fails Because People Do Not Fill Forms Cleanly
Forms look structured in templates and break in production. Design extraction around handwriting, checkbox ambiguity, version drift, and partial completion.
Forms, Tables, and Free Text Need Different Extraction Strategies
Mixed documents break when every page is treated the same. Use fields for forms, arrays for tables, and Markdown for narrative context.
EU-Hosted AI Workflows Are a Data Flow Problem, Not a Region Checkbox
AI workflow compliance depends on every handoff: intake, processing, review, generation, delivery, logs, and vendor boundaries.
How to Evaluate Document Extraction APIs
A practical evaluation framework for document extraction APIs: test sets, schemas, confidence, citations, validation, workflow fit, and cost.
The Hidden Failure Modes of PDF Processing
PDF processing breaks in ways demos hide: scans, malformed files, layout traps, partial failures, and downstream assumptions.
MCP vs REST APIs: When Agents Should Call Tools and When Your Code Should
A practical guide to choosing MCP or REST APIs for AI workflows, production pipelines, prototyping, authentication, and operational control.