Document processing

Document processing for AI-ready source material

Documents need structure before they become useful in AI systems. SourceOfTruth.io is designed around the source-preparation layer: clean content, traceable outputs, and metered processing that can scale responsibly.

Document workflow
Preparation steps
Document processing

Turn files into usable source text

The document-processing direction focuses on extracting useful text and metadata from documents before those files are searched, chunked, or embedded.

  • Text extraction
  • Metadata
  • Cleaning
  • Reviewable outputs
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Document processing

Preserve source context

AI-ready data should still point back to the source. Evidence and metadata help teams debug bad chunks, stale data, and retrieval mistakes.

  • Source links
  • Job evidence
  • Export context
  • Customer review
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Document processing

Meter the expensive work

Parsing, extraction, embedding, and advanced AI processing can be expensive. SourceOfTruth.io treats document processing as metered work, not unlimited scope.

  • Document units
  • Chunk counts
  • Embedding usage
  • AI pass-through controls
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Status

Supported document workflow

Document extraction, Transform, reprocess, indexing, and persisted-output workflows are active customer surfaces where supported.

Evidence attached

Processed output should retain file, page, section, and run context for auditability.

Review before AI

Extraction quality should be checked before source text reaches embeddings or automated answers.

Separate capability gates

Crawler and supported document workflows are active; advanced document intelligence and provider-dependent processing remain separately gated.

Document processing remains bounded and metered.Supported document processing is available, while advanced parsing, provider-dependent processing, and broader automation remain subject to separate capability and release gates.