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recording

Make a transcript

Turn a recording into a transcript

Every segment timed, so any sentence can be found and played back.

Free to try, no card. Your recording opens in Ancher.

Recording

Your recording

Paste your recording. Nothing to upload.

Transcript with timingsCommitment languageUnresolved threads

Kept in parts

Every one of these stays separately addressable instead of collapsing into one block of text.

Full textTimestampsFiller removedExport formats

Transcript

The spoken words, cleaned up, with a timestamp on every segment.

A transcript is only useful if it is anchored. Ancher transcribes the audio and puts a start and end time on every segment, cleans filler without paraphrasing, samples frames from anything shared on screen so a number that was pointed at survives, and states plainly that there are no speaker labels rather than inventing them.

An unanchored transcript is a wall of text nobody can check

Without timings, a forty-page transcript of a ninety-minute call is unusable in a dispute — finding the sentence means rereading or rescrubbing. With a timing on every segment, a contested line becomes a click. That is the difference between a transcript that gets referenced and one that gets generated and never opened again.

One second of one recording, at 18:47, read two ways.Illustrative. The figure is invented; the gap it falls into is not.

What a transcript-only tool gets18:47
18:47

if you look at the number on the right there, that's the one that changed —

On the shared screen — not read

The specific never reaches the draft

What Ancher also gets18:47
Transcript On the shared screen Q4 forecast: 1.9M from 18:47

Lands in the draft, with its timecode

  • Start and end seconds on every segment, not a timestamp every few minutes.
  • Filler is removed without paraphrasing, so nothing becomes a summary of what was said.
  • No speaker labels are invented; the transcript says so at the top.

Transcript, section by section

The spoken words, cleaned up, with a timestamp on every segment.

Full text

The spoken words, cleaned of filler, with screen content noted where something was shared.

Recording-to-transcript prompt

The link on its own gets a summary. This is the instruction that produces the 5 sections above, in that order, with the rules that keep them honest. Paste it with your recording — in Ancher, or in whatever assistant you already use.

Transcribe this recording. (1) Give the spoken words cleaned of filler, without paraphrasing. (2) Put a start and end time on every segment. (3) Note what you removed in cleanup. (4) Where something was shared on screen, describe what was shown and when. (5) State at the top that there are no speaker labels and do not attribute any line to a person.
How each part of a recording becomes a section
From the recordingIntoWhy
Transcript with timingsTimestampsEvery segment carries start and end seconds, which is what turns a claim into a record.
Transcript with timingsFull textThe spoken words are the document, and cleaning filler without paraphrasing is what keeps it a transcript rather than a summary.
Screen shares, if it is videoFull textA shared screen is sampled as frames, so a figure that was pointed at rather than read out still appears.
Duration and timelineSearchable in your workspaceKnowing the length lets a search result say where in a ninety-minute call the match is.
Transcript with timingsFiller removedRemoving filler is a decision, and recording what was removed is what keeps the transcript defensible.
Everything Ancher keeps from a recording

Transcript with timings

Every segment carries start and end seconds, which is what turns a claim into a record.

Commitment language

I'll take that, by Friday, let's park it — these phrases are what separate a task list from a topic list.

Unresolved threads

What a conversation failed to close is usually the reason for the next one.

Screen shares, if it is video

A shared screen is sampled as frames, so the number that drove a decision stays attached to it.

Duration and timeline

Where the time actually went is a finding in itself for any recurring meeting.

The four steps
  1. Add the recording. Upload the audio or video file. Ancher transcribes it and keeps a start and end time on every segment, so any line in the output can be traced back to the moment it was said.
  2. Nothing gets flattened. Transcript with timings, commitment language, unresolved threads, screen shares, if it is video, duration and timeline stay separately addressable instead of collapsing into one block of text.
  3. Ask for a transcript. Ancher fills full text, timestamps, filler removed, export formats, searchable in your workspace using the mapping above, not a generic summary pass.
  4. Check it before you use it. Every specific keeps a link back to where it came from in the recording, so a claim can be verified without reopening the source.
Where this goes wrong
  • There are no speaker labels. A four-person call reads as one continuous voice, and attributing a line to someone is your judgement rather than the transcript's.
  • Crosstalk and room mics degrade accuracy on exactly the passages that matter most, which are the ones where people interrupt each other.
  • Recording others carries consent and retention obligations that vary by jurisdiction, and a transcript is a more durable record than the audio.
Questions people ask
Does it separate speakers?

No. It gives you what was said and when. For anything that turns on attribution — a disciplinary record, a legal matter — this is the wrong tool and the transcript says so at the top rather than in a footnote.

How accurate is it?

Good on clear single-speaker audio and worse with crosstalk, room mics or accents the model handles poorly. The failure mode is worst precisely where people interrupt each other, which is where decisions tend to happen.

Why sample the screen?

Because in a screen-shared call the number is on the screen and the speech is that one right there. A transcript without the frames records a sentence that points at nothing.

Bring your own recordings

Everything you save lives in one workspace, so the transcript is built from your sources — not from a model's memory of the internet.

Open Ancher →

Not a recording? The same transcript also comes from YouTube video, Instagram post, TikTok video.