Need the words from a recording on the page instead of in your ears? Upload the file or record straight into your browser, and the AI converts the audio to text. You get a transcript of everything that was said, broken up by speaker (Speaker 1, Speaker 2 and so on) with timestamps, so you can find a quote without scrubbing through the whole clip. The report also names the language being spoken with a confidence figure, marks passages that were too muffled or overlapped to transcribe with certainty, and adds a short profile of each voice: an estimated gender, age range and accent. It works best on clear speech of a few minutes or less, which is the length most people need to transcribe from a lecture excerpt, a voicemail or a quick interview.
Example result
Input
A 2-minute phone recording of a journalist interviewing a bakery owner in a quiet shop.
Output
Language: English (high confidence). Speakers detected: 2. [00:00] Speaker 1: Thanks for making time. How long has the shop been open? [00:04] Speaker 2: Eleven years this March. My mother started it, I took over in 2019. [00:11] Speaker 1: And the sourdough, is that still her recipe? [00:14] Speaker 2: Mostly. We changed the flour after [inaudible, 00:16 to 00:17] the mill closed. Speaker profiles: Speaker 1, adult female, likely 30s, General American accent. Speaker 2, adult male, likely 40s to 50s, light Midwestern accent. Unclear segments: one, at 00:16, where an oven timer masks two words.
Scores
How it works
How Speech Recognition works
- 01
Add your recording
Sign in, choose this tool, and upload a common audio file or record with your microphone. You can also choose which AI model does the listening.
- 02
Words and language
The model writes out every spoken word it can hear, identifies the language (or languages, if a speaker switches), and assigns an overall confidence to the transcription.
- 03
Who spoke and when
It splits the text into turns, labels each turn with a speaker, and attaches timestamps so every line maps back to a point in the audio.
- 04
Flags for uncertain spots
Words it could not resolve are marked as unclear or inaudible rather than guessed silently, so you know exactly which lines to double-check against the recording.
Use cases
Who it is for
Reporters and researchers
Pull exact quotes from an interview with timestamps attached, so you can cite a line and jump back to verify the wording before publishing.
Students
Transcribe a recorded lecture segment or a study group discussion and search the text for the part the professor said would be on the exam.
Voicemails and voice notes
Convert a long voice message into text you can skim, forward or paste into an email instead of replaying it three times.
Small teams without a transcription service
Get a quick written record of a short call or stand-up, with each person's contributions separated, without setting up dedicated meeting software.
Tips
Get better results
- Record as close to the speaker as you can; distance and room echo cost more accuracy than a cheap microphone does.
- Split long recordings into shorter parts. The report has a length limit, so a two-hour file will not come back as one complete transcript.
- When two people talk over each other, those lines are the most likely to be marked unclear. Ask interviewees to finish before you respond.
- Check every line marked unclear or inaudible against the audio before you quote it.
- Turn off fans, music and notification sounds before recording, since steady background noise blurs consonants.
Limitations
What it can't tell you
This is AI speech-to-text from a multimodal model, not a certified or human-verified transcript, so it can mishear names, jargon and numbers. The transcript is returned as part of a written report rather than as a caption file. Timestamps and speaker labels are approximate, and the speaker profiles (gender, age, accent) are estimates from the sound of a voice, not facts about the person. For legal, medical or court records, have a qualified human transcriber review the result.
Frequently Asked Questions
Speech Recognition questions
How do I transcribe audio to text?
Open the tool after signing in, upload your recording or record it in the browser, and start the analysis. The AI listens to the file and returns a transcript with timestamps and speaker labels. Review any lines it marks as unclear, then copy the text wherever you need it.
Is this the same as a speech to text app?
Dictation apps type what you say live, one speaker at a time. This audio to text converter works on a finished recording instead, so it can separate several speakers, time-stamp their turns and tell you which language was spoken. It is built for transcribing recordings you already have rather than for dictating as you talk.
What languages can it transcribe?
The model detects the spoken language itself and reports how confident it is, so you do not need to choose one in advance. Widely spoken languages generally transcribe most reliably. If a recording mixes languages, the report notes where the switch happens. For a quick check of which language a clip is in, the language detector tool is a lighter option.
How long can my recording be?
Each analysis produces a single report of limited length, so shorter files give the most complete transcripts. A few minutes of speech is a comfortable size. For longer interviews or lectures, cut the audio into parts and run each one separately.
Does it tell me who said what?
Yes. The transcript is divided into speaker turns labeled Speaker 1, Speaker 2 and so on, with the time each turn starts. It cannot know anyone's real name, so replace the labels yourself. If you only need the speaker timeline, the speaker diarization tool goes deeper on that.
Do I need a subscription?
Transcription is one of the AI tools, which run on monthly credits from a paid plan. Each file you transcribe uses credits. The pricing page lists the current plans.
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Speech Recognition uses credits from a paid LindaleAI plan. See pricing