Keyword Extractor

Data & File Processing

Extracts named entities or keywords from unstructured text and presents them in tables.

Extract entities from messy text

A focused file analysis agent for analysts

Entity and Keyword Extractor is an AI agent built to extract named entities or keywords from unstructured text and present them in tables. It is built for analysts, operators, researchers, and teams working with files who need to avoid manually scanning documents for names, organizations, products, or recurring terms. Add text or document file, types of entities to extract, and output format; the agent turns those inputs into entity tables, frequency counts, unclear matches, and false-positive notes. Run it once per file batch or dataset, then reuse the slots whenever the input format repeats.

How to set it up

  1. Start with text or document file, because this field determines what the agent should optimize for.
  2. Add types of entities to extract and output format so the response reflects the real audience, constraints, and context.
  3. Fill in examples when examples, formats, source material, or edge cases would change the answer.
  4. Choose the output format before running: summary, table, flagged rows, comparison notes, or cleanup checklist.
  5. Run it once per file batch, then reuse the same slots whenever the source format repeats.

Best for

Entity and Keyword Extractor FAQ

What should I provide to Entity and Keyword Extractor first?

Start with text or document file. Then add types of entities to extract and output format so the agent has enough context to produce entity tables, frequency counts, unclear matches, and false-positive notes.

Can Entity and Keyword Extractor extract all requested entities from the text?

Yes. That is one of the core outputs. More specific inputs produce more specific results.

How does Entity and Keyword Extractor avoid generic output?

It asks for the details most likely to change the answer, especially text or document file, types of entities to extract, and output format. That prevents manually scanning documents for names, organizations, products, or recurring terms.

Can Entity and Keyword Extractor work from uploaded files?

Yes. Use the file-or-text slots for spreadsheets, documents, transcripts, exports, or pasted text, then specify the exact extraction or analysis goal.

Can Entity and Keyword Extractor adapt to my format or workflow?

Yes. Add your preferred format, examples, tools, or constraints in the slots, and the agent can shape the result around them.

What should I do if Entity and Keyword Extractor misses the mark?

Clarify text or document file, add missing constraints, and state what a good result should include. The next run will usually improve when the failure mode is explicit.

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