Free online AMR to SRT converter

Source format

AMR (Adaptive Multi-Rate) is a compressed audio format designed for speech. It was widely used on older mobile phones, voice recorders, and some messaging systems because it keeps file sizes small while preserving intelligible voice quality. AMR files usually contain audio only, so they are commonly used for voicemail, call recordings, dictation, and other speech-centric recordings.

Target format

SRT is a subtitle file format that stores timed text in plain text. It is used by video players, editors, and streaming tools to display captions or subtitles at specific times. SRT is simple, widely supported, easy to edit, and ideal for subtitles that need to be compatible across many platforms.

How to perform the conversion

Converting AMR to SRT is not a direct format-to-format conversion, because AMR is audio and SRT is subtitle text. You must first transcribe the speech in the AMR file, then save the transcript as an SRT subtitle file with timestamps.

1. Open the AMR file in a speech-to-text tool or audio editor that supports transcription.
2. Generate a transcript of the spoken content.
3. Review and correct the text for names, punctuation, and timing.
4. Split the transcript into subtitle segments.
5. Add start and end timestamps for each subtitle line.
6. Save the result as .srt.

For a practical workflow, you can use desktop transcription software or an audio editor with speech recognition, then export or save the subtitle text as filename.srt. If you already have a transcript, you can also create the SRT manually in a text editor by following the standard subtitle numbering and timestamp format.

Example SRT structure:

1
00:00:01,000 --> 00:00:03,500
Hello, welcome to the recording.

2
00:00:03,700 --> 00:00:06,200
This is the next subtitle line.

If you want a quick no-install option, you can convert the file on 101convert.com for free, directly in the browser.

Notes on quality and limitations

AMR to SRT is a transcription task, not a simple file conversion. The quality of the resulting SRT depends on speech clarity, background noise, accents, overlapping speakers, and the transcription engine used. AMR is often low-bitrate speech audio, so recognition accuracy may be lower than with higher-quality recordings.

Also, SRT does not store audio; it only stores subtitle text and timing. That means the conversion cannot preserve the original sound, only the spoken content as captions. For best results, manually review the transcript and adjust timestamps so subtitles appear naturally and remain readable.