Is document processing separate from crawling?

Yes. Crawling collects web pages, while document processing prepares uploaded or connected files for downstream AI workflows.

Why meter document processing?

Document parsing, chunking, embeddings, and AI extraction have real compute costs and need usage controls before scale.

Can document processing support RAG workflows?

Yes. The goal is to turn source documents into cleaner, traceable, AI-ready material for future retrieval workflows.

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

Extract source textTurn uploaded or collected files into reviewable text, metadata, and evidence.Open Prepare for RAGClean source text before chunking, embeddings, and retrieval indexing.Open Use crawler outputCombine clean web exports with future document pipelines when the workflow is ready.Open Ask about document prepContact support for document parsing, normalization, and source-data roadmap questions.Open

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

Future pipeline surface

Document processing is a roadmap workflow that should be metered separately from crawler pages.

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.

Crawler remains live

The active public product remains Search + Web Crawler while document workflows mature.

Document processing is not unlimited file ingestion.Parsing, extraction, chunking, and embeddings should remain visible, metered, and launch-gated until production-ready.