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LexCat

Converts uploaded audio or video into a transcript, pairs it with a translation line by line, and writes a summary.
LexCat: data, price, alternatives
At a glancechecked Oct 31, 2026

28 linking domains

Emerging

For
Students, researchers and professionals who need to understand foreign-language audio and video recordings.
How it runs
Desktop app
Used for
  • transcribe and translate foreign lecture recordings side by side
  • summarize long meeting recordings into key points
  • save and tag sentences from podcasts as notes
Worth knowingcomputed from what we read · each with its source
  • Launched on Product Hunt on Jul 14, 2026Product Hunt ↗
Your datawhat they publish, each line with its page · read Oct 22, 2026

“No data is used for training models.”

security page ↗

These are LexCat's own statements, read from its pages. We did not audit them. A line that is missing was not found on the pages we read; it does not mean the practice is absent.

Alternatives in Creative & mediaby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

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Not it? Say what you need

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Three tools from the Atlas for the job you describe, each with what fits and what does not.

From people who use itnot part of the reading

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Questions this page answers
  • What is LexCat?

    Converts uploaded audio or video into a transcript, pairs it with a translation line by line, and writes a summary. It is listed in the Atlas under Creative & media.

  • Who is LexCat for?

    Students, researchers and professionals who need to understand foreign-language audio and video recordings.

  • Do people use LexCat?

    Emerging.

  • Does LexCat train AI on your data?

    No, per its security page (2026-10-22): “No data is used for training models.”

  • Is LexCat safe?

    We do not audit vendors. What LexCat publishes, read 2026-10-22: on training with your data, “No data is used for training models.”.

  • What are alternatives to LexCat?

    In Creative & media, by use: HappyScribe, Transgate AI, AudioScribe, convert.express, RiverScript.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

How we read every tool → · By INITE Atlas Desk