
Own the stack. Know the work.
Plan worker limits, access controls, secrets, job states, and recovery before deploying your own extraction runtime.
Compare AWS, Azure, and self-hosted processing patterns. The operating questions stay important: source access, credentials, limits, job states, output validation, and recovery.
This publication is static. Deploying its files does not create a worker queue, extraction engine, database connection, or hosted API. The guides describe how to plan those separate components using software and access you have independently selected and verified.
Plan AWS-based processing as a controlled document or source pipeline.
Explore the workflowMap document-analysis output into a record your application can validate and govern.
Explore the workflowOwn the runtime with a deliberate plan for access, updates, and recovery.
Explore the workflow
Plan worker limits, access controls, secrets, job states, and recovery before deploying your own extraction runtime.

Separate recognition from interpretation and build evaluation, validation, and human review into document extraction.