Text Segmenter
Prepare coherent passages for retrieval instead of treating a whole manual as one topic. Review the pieces before deciding what to embed or index.
Separate topics. Keep useful context together.
A document becomes useful passages
Select a topic to connect a prepared passage to its source section. A useful segment keeps the instruction and its qualifying detail together.
Ask your team lead to approve a laptop request before placing an order. Include the project name in your request.
Attach an itemized receipt to each expense. Submit the report within thirty days of returning.
Discuss planned leave with your team lead. Add approved dates to the shared calendar.
Ask your team lead to approve a laptop request before placing an order. Include the project name in your request.
The approval requirement stays beside the action it qualifies.
Attach an itemized receipt to each expense. Submit the report within thirty days of returning.
A useful passage includes both what to submit and when.
Discuss planned leave with your team lead. Add approved dates to the shared calendar.
The next step remains part of the same idea.
Worked example · manually mapped source highlights and editorial annotations, not API offsets · no live processing. Retain the original and review fidelity when exact wording matters.
Prepare knowledge with intention
Manuals, articles and multi-topic transcripts often benefit from smaller passages. A short FAQ or already focused policy may be ready to use as it is.
Prepare passages, inspect boundaries and choose what to index.
Skip unnecessary splitting. More fragments are not automatically better.
Segmenter returns text to your application. It does not create embeddings, store documents or publish a knowledge base.
Fetch and OCR can extract text first. Clean difficult tables and scans before asking segmentation to find meaningful boundaries.
Review whether each passage contains enough context to answer something useful. Keep your original source alongside the result.
Segmentation is billed by token usage. Embedding, indexing and storage are separate operations.
Text tool pricing and limits