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Audio to Text Transcriber (AI)

· Last updated:2026-07-25

Transcribe speech from audio (wav/mp3/m4a/flac/ogg/webm/aac) to text, SRT, VTT or JSON using the grok-stt AI model. Up to 10 minutes.

Details

What this tool helps you do

Upload an audio or video file containing speech and the tool transcribes it with x-ai/grok-stt-1.0 through OpenRouter. Long inputs are split near silence into bounded FLAC chunks. Subtitle formats use native word or segment timestamps when the provider returns them; otherwise they use clearly labelled silence-aligned approximate timing. Supports WAV, MP3, M4A, FLAC, OGG, WebM, and AAC. Audio duration follows your plan limit (free tier: 10 min, enforced by the platform). Choose automatic detection or a language hint for better accuracy.

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Written by the Elysia Tools team
Audio312
Text311
JSON107
Video98
AI63
MP331
AAC21
OGG17
WAV17
FLAC14
SRT14
M4A11

Tool usage guide

Learn when to use this tool, what it supports, and how real users apply it.

Key facts

Category
AI Tools
Input types
file, select, number
Output type
text
Sample coverage
4
API ready
Yes

Overview

The Audio to Text Transcriber (AI) converts spoken language from audio and video recordings into plain text, timed subtitle files (SRT, VTT), or structured JSON cue lists using the x-ai/grok-stt-1.0 model. It supports files up to 10 minutes and 100 MB, splitting long inputs within the duration limit into silence-bounded chunks.

When to use

  • You need to generate subtitle captions (SRT or VTT) for a recorded video presentation or interview under 10 minutes.
  • You have a recorded audio note (MP3, WAV, M4A) and need a clean plain text transcription.
  • You need machine-readable JSON cues containing speech text with timestamp boundaries for search indexing.

How it works

  1. 1Upload your recording through Audio File (supports audio formats like MP3, WAV, M4A, FLAC, OGG, AAC, and video formats MP4 or WebM up to 100 MB).
  2. 2Choose your target Output Format: Plain text, SRT subtitles, VTT subtitles, or JSON cue list.
  3. 3Set Language Hint to Auto detect or pick a specific language (en, zh, es, ru, fr, de, pt), and adjust the Maximum chunk duration (s) between 20 and 55 seconds if desired.
  4. 4Submit the job and verify the transcribed text or timestamped cues in the output window against your audio.

Use cases

  • Video subtitle generation: Upload an MP4 or WebM clip under 10 minutes, export SRT or VTT subtitles, and load them into a media player or video editor.
  • Voice memo documentation: Upload voice recordings in M4A or MP3 format with Output Format set to Plain text to retrieve copyable spoken transcripts.
  • Spoken content indexing: Convert speech into a JSON cue list with start and end times to feed searchable speech-to-text databases.

Compare alternatives

  • Use when you need to transcode audio containers, sample rates, or volume levels (such as converting MP3 to WAV) rather than extracting speech into text.

  • Use when analyzing musical performances to transcribe stems (vocals, bass, drums) into MIDI notes instead of converting spoken dialogue to text.

  • Use when you need to inspect audio background noise and signal-to-noise ratio metrics rather than generating a transcript.

Who it's for

Best for

  • Transcribing spoken dialogue from audio or video files under 10 minutes into text or subtitle formats.
  • Generating timed SRT or VTT subtitle tracks directly from spoken MP4, WebM, or common audio files.
  • Creating structured JSON cue lists with timing information for downstream text indexing or processing.

Not ideal for

  • Audio recordings longer than 10 minutes (free tier limit) or files exceeding 100 MB.
  • Transcribing musical instrument parts or singing into MIDI notes.

Edge cases & common failures

  • Continuous speech with no natural pauses

    Audio is segmented near silent sections up to the Maximum chunk duration limit. In rapid, uninterrupted speech, chunks split at the duration ceiling (20–55s), which may divide words across chunk boundaries.

  • Model outputs without precise word-level timestamps

    When the underlying speech model does not provide native word or segment timestamps, SRT and VTT outputs fall back to silence-aligned approximate timings that should be manually verified for tight sync.

  • Input files near the 100 MB upload threshold

    Uploads over 104,857,600 bytes are rejected. Compress video files or extract the audio track to an efficient format like MP3 or AAC prior to upload if close to the file size limit.

Examples

1. Convert smartphone voice memo to text

Researcher

Background

Recorded a brief 6-minute interview on a phone saved as an M4A audio file.

Problem

Needs a written transcription for notes without transcribing by hand.

How to use

Select the M4A file under Audio File, select Plain text under Output Format, and set Language Hint to English.

Audio File: interview.m4a, Output Format: Plain text, Language Hint: English, Maximum chunk duration: 45s

Outcome

Outputs the complete speech transcript as readable plain text.

2. Generate SRT subtitles for a video clip

Content Creator

Background

Has a 4-minute MP4 video explaining a product feature.

Problem

Wants timed SRT captions to embed with the video.

How to use

Upload the MP4 file to Audio File, choose SRT subtitles under Output Format, and leave Language Hint on Auto detect.

FAQ

What are the file size and audio length limits?

The maximum file size is 100 MB (104,857,600 bytes) and audio duration is limited to 10 minutes on the free tier.

Which file formats can I upload?

The tool accepts audio files (WAV, MP3, M4A, FLAC, OGG, AAC) and video files (MP4, WebM) containing audio tracks.

How does the Maximum chunk duration setting work?

It defines the maximum segment length (from 20 to 55 seconds) used when the tool divides audio near silence boundaries before sending it to the transcription engine.

How are subtitle timestamps calculated?

SRT and VTT formats use native timestamps from the AI model when available, and fall back to silence-aligned approximate timings when native timestamps are not returned.

What languages are supported by the Language Hint selector?

You can leave it on Auto detect or explicitly select English, Chinese, Spanish, Russian, French, German, or Portuguese.

Hub

Interview Recording Transcription Review and Delivery

Preserve an interview recording, assess transcription risks, compare an optional cleaned copy, review an AI draft against the original and deliver traceable text with unresolved passages.

Hub

Captions, Audio Description, and Intelligibility for Spoken Audio

Map where speech lives in a finished recording, transcribe it into captions in the format the player expects, align caption timing to the speech, mix in audio description with program ducking, and prove the message survives degraded listening.

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Audio File: feature-clip.mp4, Output Format: SRT subtitles, Language Hint: Auto detect, Maximum chunk duration: 45s

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Produces a valid SRT file with numbered cues, timestamps, and caption text.

3. Extract JSON cues for a search index

Web Developer

Background

Has 5-minute Spanish audio briefings that need to be searchable by phrase.

Problem

Requires speech broken down into structured timestamps and text.

How to use

Upload the audio file, select JSON cue list for Output Format, set Language Hint to Spanish, and set Maximum chunk duration to 30 seconds for tighter segments.

Audio File: brief.ogg, Output Format: JSON cue list, Language Hint: Spanish, Maximum chunk duration: 30s

Outcome

Receives a structured JSON array containing cue start times, end times, and transcribed sentences.

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