Convert AMR to subtitles

Sonix transcribes your AMR file and creates timestamped subtitles in SRT, VTT, and other formats.

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SRT & VTT
5-min turnaround
All platforms
AMR conversion guide

Create subtitles from AMR 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 your AMR with word-level timestamps.

  5. 5
    Split subtitles~2 min

    Customize line length, duration, and subtitle breaks.

  6. 6
    Export~10 sec

    Download your subtitles as SRT or VTT files.

    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 subtitles: frequently asked questions

Can you create subtitles from AMR files?

Yes! Sonix transcribes your AMR file with word-level timestamps and creates professional subtitles in SRT, VTT, and other formats.

What subtitle formats are supported?

Export subtitles as SRT (most universal), VTT (web video), FCPXML (Final Cut Pro), and many more formats.

Can I customize subtitle timing?

Yes! Adjust max characters per line, lines per caption, max duration, and manually fine-tune any timing.

How do I add subtitles to my video?

Upload the SRT/VTT file to YouTube, Vimeo, or import into your video editor. You can also burn subtitles directly into the video.

Can I translate subtitles?

Yes! Sonix can translate your subtitles into 55+ languages, making your content accessible globally.

Are the subtitles accurate?

Sonix achieves up to 99% accuracy. Use our editor to make any corrections before exporting.

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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