Convert AMR to SRT

Sonix transcribes your AMR file and exports it as SRT subtitles that you can use with any video platform or editor.

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5-min turnaround
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AMR conversion guide

Convert AMR to SRT 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 subtitles~2 min

    Fine-tune subtitle timing and text in the editor.

  6. 6
    Export SRT~10 sec

    Download your AMR subtitles as an SRT 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 SRT: frequently asked questions

Can you convert AMR to SRT subtitles?

Yes! Sonix transcribes your AMR file with precise timestamps and exports it as SRT subtitles ready for any video platform.

What is an SRT file?

SRT (SubRip Subtitle) is the most widely supported subtitle format. It works with YouTube, Vimeo, Facebook, and all major video editors.

How accurate are the timestamps?

Sonix generates word-level timestamps accurate to the hundredth of a second, ensuring your subtitles sync perfectly with the audio.

Can I edit the SRT timing?

Yes! Our editor lets you adjust subtitle timing, merge or split captions, and customize character limits per line.

Does it work with YouTube?

Absolutely! Upload your SRT file to YouTube Studio and your subtitles will sync automatically with your video.

Can I set characters per line?

Yes! Customize your SRT with options for max characters per line, lines per caption, and maximum duration.

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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