Convert AMR to VTT

Sonix transcribes your AMR file and exports it as WebVTT captions perfect for HTML5 video and web platforms.

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HTML5 ready
5-min turnaround
Web compatible
AMR conversion guide

Convert AMR to VTT in 6 steps

  1. 1
    Create account~30 sec

    Sign up for a free Sonix trial with 30 free minutes.

  2. 2
    Upload file~1 min

    Upload your AMR file from your computer or cloud storage.

    44+ formats supported
  3. 3
    Select language~10 sec

    Select the language spoken in your file.

    54+ languages
  4. 4
    Auto-transcribe~5 min

    Sonix AI transcribes and timestamps your AMR audio.

  5. 5
    Edit captions~2 min

    Fine-tune caption timing and text in the editor.

  6. 6
    Export VTT~10 sec

    Download your AMR captions as a WebVTT file.

    30+ export formats
The AMR file format

Understanding AMR files

What is a AMR file?

Speech-optimized mobile audio format

AMR was adopted as the standard speech codec by the 3rd Generation Partnership Project Group (3GPP)and is now widely used in GSM and UMTS for 3G mobile phones and devices.
The Adaptive Multi-Rate (AMR) audio file format that is optimized for speech coding. Thus, most audio saved in the AMR file format is compressed and optimized for human speech frequency ranges. Thus, the AMR speech codec consists of a multi-rate narrowband speech codec that encodes narrowband (200–3400 Hz) signals at variable bit rates ranging from 4.75 to 12.2 kbit/s with normal quality speech starting at 7.4 kbit/s. Since it is used mainly for mobile speech communication, it chooses between the 8 different bit rates based on link conditions.

Common uses for AMR files

  • Voice recordings on mobile
  • Voicemail messages
  • GSM phone calls
  • Android voice recorders
  • Mobile phone voicemail
  • 3G phone recordings

Who works with AMR files?

Journalists who record phone interviews, legal and compliance teams reviewing call evidence, and call-center or telecom staff handling carrier voice files encounter AMR regularly. Field researchers and support teams also receive AMR attachments when interviews or messages are captured on older mobile handsets.

AMR vs MP3: which should you use?

AMR is a narrowband speech codec that samples at 8 kHz and encodes at 4.75–12.2 kbps, producing very small files limited to the telephone voice range, while MP3 is a general-purpose audio format supporting higher sample rates and bitrates for music and full-range sound. MP3 also has far broader playback support across devices and software. AMR makes sense when a phone or voicemail system produces it automatically and file size matters; MP3 is the better choice for sharing, archiving, or any audio beyond speech.

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AMR conversion FAQ

AMR to VTT: frequently asked questions

Can you convert AMR to VTT captions?

Yes! Sonix transcribes your AMR file with precise timestamps and exports it as WebVTT captions for web video.

What is a VTT file?

WebVTT (Web Video Text Tracks) is the native caption format for HTML5 video. It's supported by all modern browsers and video platforms.

VTT vs SRT - which should I use?

Use VTT for web video (HTML5) and SRT for video editors. VTT supports advanced styling like colors and positioning.

Does VTT support styling?

Yes! VTT supports CSS styling for colors, fonts, positioning, and more. Customize how your captions appear on screen.

Is VTT compatible with browsers?

VTT is supported by Chrome, Firefox, Safari, Edge, and all modern browsers. It's the web standard for video captions.

Can I use VTT with video.js?

Absolutely! VTT works seamlessly with video.js, Plyr, JW Player, and other HTML5 video players.

Why won't my AMR file play on my computer?

AMR is a mobile telephony codec that many desktop media players do not support out of the box. Players such as VLC can open it, or you can convert the file to MP3 or WAV for wider compatibility.

Is AMR audio good enough for transcription?

Usually yes for clear voice recordings, since the codec is designed around the human speech range. Recordings made at the lowest bit rates or with heavy background noise carry less audio detail, which can reduce transcript clarity.

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