Agentlytics
Text file analysis

Turn plain text files into answers. Notes, transcripts and logs, searchable by meaning.

Agentlytics indexes your .txt files so you can ask questions by meaning, not keyword. Summarize long transcripts, pull decisions out of meeting notes, or find every mention of an error in a log export - each answer linked to the passage it came from.

customer-interviews.txtExample

What are the three most common complaints?

Slow onboarding, unclear pricing tiers and missing export options came up most often across the interviews.
customer-interviews.txt - 9 cited passages
Example question and answer for the AI Text File Analyzer

What the AI Text File Analyzer does

Purpose-built AI agents and deterministic tools, so answers about your data are computed and cited - not guessed.

Search by meaning

Semantic search finds the relevant passage even when it doesn't use the words in your question.

Full-document summaries

Long transcripts and notes are read end to end to produce summaries, themes and action items.

Cited passages

Answers reference the passages they were drawn from, so you can jump to the original text.

Compare files

Ask what changed between two versions of a document or how two transcripts differ.

Mix with your data

Combine text files with CSVs, spreadsheets and PDFs in the same workspace and ask questions across all of them.

Reports on demand

Turn findings from your text files into a written report you can download and share.

How it works

  1. 01

    Upload .txt files

    Add notes, transcripts, logs or exported text up to 25 MB each.

  2. 02

    Ask or summarize

    ‘What decisions were made?’ ‘Summarize the key themes.’ ‘Find every error code.’

  3. 03

    Use the findings

    Read cited answers and turn them into reports alongside your other data.

Questions you can ask

Type them exactly like this - no formulas, SQL or setup.

  • Summarize this meeting transcript
  • What action items were assigned and to whom?
  • Find every mention of a timeout error in this log
  • What themes appear across these interview notes?
  • What changed between these two policy drafts?
  • Write a one-page report from these notes

Popular use cases

Teams use the AI Text File Analyzer for work like this.

Meeting notes

Extract decisions, owners and follow-ups from long notes.

Interviews & research

Find recurring themes across customer or user interview transcripts.

Logs & exports

Search plain-text logs for errors, patterns and unusual events.

Drafts & policies

Compare versions and summarize what changed.

AI Text File Analyzer FAQ

What kinds of text files can I analyze?

Any plain .txt file - meeting notes, interview transcripts, exported chats, logs or drafts - up to 25 MB per file.

Can it summarize a long transcript?

Yes. Whole-document requests read the full text in order and return a summary, themes, key points or action items.

Does it only match exact keywords?

No. Text is indexed for semantic search, so it finds passages that match the meaning of your question, then re-ranks them for relevance.

Can I combine text files with spreadsheets?

Yes. A workspace can hold text files, PDFs, CSVs and Excel workbooks together, and one question can draw on all of them.

Try the AI Text File Analyzer free

Create a workspace, add your data and ask your first question in under a minute.