Hear2Text
Speaker Identification

Identify speakers in audio automatically

Upload a meeting, interview or podcast and Hear2Text labels every line with its speaker: Speaker 1, Speaker 2 and so on, with no limit on how many, on every plan. Renaming and merging speakers, and adding them to your exports, are part of the paid Monthly and Yearly plans.

One label per voice, from start to finish

The whole recording is transcribed in one pass, so the voice that is Speaker 2 in the first minute is still Speaker 2 an hour later. Each line of the transcript carries its speaker and a timestamp; click a line and the player jumps to that moment so you can check who actually said it. On the paid plans you can rename a label to a real name and merge two labels that turned out to be the same person; moving a single line to a different speaker, when the model got it wrong, works on every plan.

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See how the conversation was shared

A speakers panel shows each person's share of the recording, so you can see at a glance whether the interviewer talked more than the guest or one voice dominated the meeting. Hear2Text tells voices apart within a single recording only; it does not remember voices between recordings or recognise who someone is, so names are always yours to add.

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Multi-speaker audio, with and without speaker labels

FeatureWithoutWith Hear2Text
Meetings with several peopleOne long block of text with no clue who said whatEvery line marked Speaker 1, Speaker 2 and so on
Interview transcriptsQuestions and answers run togetherInterviewer and guest on separate, renamable labels
Podcast show notesReplaying the episode to tell host from guestA panel showing each speaker's share of the episode
Finding a quoteScrubbing through the audio by earSearch the transcript, click the line, hear it played

Use Cases

  • Team meetings

    See who raised each point and who agreed to what. Rename speakers to your colleagues' names and click a line to hear it again before writing the minutes.

  • Interviews and podcasts

    Keep host and guest apart so you can pull quotes and write show notes without replaying the episode. The speakers panel shows how much each person talked.

  • Research interviews and focus groups

    Separate participants in a group session and review what each one said. With many similar voices on one microphone, expect to correct some lines by hand.

How speaker identification works

You upload a file or paste a public link. The recording is transcribed and split by voice in one pass, then you tidy the labels in the browser. No setup, no voice samples, no language to pick.

  1. Step 01

    Upload the recording

    Upload audio or video up to 500 MB and 6 hours, or paste a public YouTube, Vimeo or Zoom cloud-recording share link. The language is detected automatically.

  2. Step 02

    Voices are separated

    The whole recording is analysed at once, so turns between speakers are found and each voice stays on the same label throughout.

  3. Step 03

    Lines get speaker labels

    Each line is marked Speaker 1, Speaker 2 and so on, with its timestamp. With only one voice, the label is hidden.

  4. Step 04

    Rename and fix

    On the paid plans, rename speakers to real names and merge duplicate labels. Moving a line to the right person works on every plan.

Key Features

  • Automatic speaker detection

    Speakers are detected from the audio itself. Nothing to tag, no voice samples, no speaker count to enter beforehand.

  • Rename and merge speakers

    On the paid plans, turn Speaker 1 into "Anna" in one step, and merge two labels that belong to the same person.

  • Consistent across the recording

    One pass over the whole file keeps each voice on the same label from the first minute to the last.

  • Any number of speakers

    No limit on speakers: two-person interviews, team meetings and panels all work. Clear audio separates best.

  • Fix lines by hand

    Crosstalk and similar voices cause mistakes. Move any line to another speaker and edit the text in the browser.

  • Speakers in your downloads

    On the paid plans, choose to add the speakers when you download: TXT, Word and PDF open each turn with the speaker's name, and SRT and VTT put it before each subtitle.

Frequently Asked Questions

How many speakers can it identify?
There is no fixed limit. Hear2Text labels as many distinct voices as it finds, Speaker 1, Speaker 2, Speaker 3 and onward, whether that is a two-person phone call or a panel of eight. More speakers with similar voices make separation harder, so a large group recorded on one microphone may need a few lines moved by hand. When only one person speaks, the label is hidden.
Do I need to register speakers or upload voice samples first?
No. There is no enrolment step and no voice samples to record. Speakers are told apart from the recording itself, so you simply upload the file or paste a public link and the transcript arrives with labels. Hear2Text does not know who anyone is, so it names them Speaker 1, Speaker 2 and so on; on the paid plans you can rename them afterwards.
How accurate is speaker identification?
It is reliable on clear recordings where people take turns and each has their own microphone. Accuracy drops when people talk over each other, when everyone shares one distant microphone, or when two voices sound alike. Mistakes usually show up as a short line given to the wrong person, and you can move any line to the correct speaker or merge two labels in the browser.
Can I rename speakers to real names?
Yes, on the paid plans. Rename Speaker 1 to "Anna" and every line of hers updates at once. If one person was split into two labels, merge them. The names carry into your downloads too: choose to add the speakers when you export, and TXT, Word, PDF, SRT and VTT all show them.
What happens when people talk over each other?
Overlapping speech is the hardest case. Each segment gets one speaker, so when two people talk at once the line goes to whoever dominates, and a quick interjection can be missed or attached to the wrong person. Heavy crosstalk also lowers transcription accuracy. You can fix it afterwards by editing the text and moving lines to the right speaker in the browser.
Does it work with phone call recordings?
Yes, if you have the recording as a file. Upload it (up to 500 MB and 6 hours, in MP3, M4A, WAV or most other formats) and both sides are labelled. Phone audio is narrow and compressed, so separation is weaker than with studio audio, especially if both voices are similar. Hear2Text does not record calls itself and no bot joins Zoom, Teams or Meet.

Identify speakers in your next recording

Upload a meeting, interview or podcast and get a transcript with every line labelled by speaker, on every plan. Naming the speakers and adding them to your exports come with the Monthly ($9.99) and Yearly ($89.99) plans, which also include unlimited transcription minutes.