Accurately convert
Persian AMR files to text
Sonix automatically transcribes your Persian AMR files to text in minutes. Access industry-leading artificial intelligence and the days of manually transcribing your Persian AMR files are long gone. Persian speech to text: Sonix has been independently reviewed the most accurate Persian automated transcription, translation, and subtitling platform.
Free to start — no credit card required.
Thousands of Sonix customers convert their Persian AMR files to text
Use Sonix to quickly convert
Persian AMR files to text
- 1Log into your Sonix account~30 sec
If you don't have one, you can sign up for Sonix's free account — Your free trial includes 30 minutes of transcription and translation.
- 2Upload your Persian AMR file~1 min
Click “Upload” and locate the Persian AMR file on your computer.
- 3Choose language: Persian~10 sec
Select Persian as the language spoken, then click “Transcribe”.
- 4Sonix transcribes your AMR file~5 min
Sonix transcribes your Persian AMR file and converts it to Persian text.
- 5Polish your Persian transcript~2 min
Edit your Persian transcript directly in the browser to correct any misheard words.
- 6Export Persian text~10 sec
Export the Persian text to MS Word, PDF, subtitles, or plain text.
Understanding Persian AMR files
Persian has three major national varieties: Iranian Persian (Farsi), Dari in Afghanistan, and Tajik in Tajikistan and Uzbekistan, which differ in vowel pronunciation, vocabulary, and loanwords. Colloquial spoken Persian, especially the Tehrani register, also diverges noticeably from formal written Persian in verb endings and contractions, which matters when converting speech to standard written text.
AMR technical specifications
- Codec
- AMR-NB (Adaptive Multi-Rate narrowband)
- Container
- AMR (RFC 4867); also carried in 3GP
- Typical bitrate
- 4.75–12.2 kbps (adaptive)
- Sample rate
- 8 kHz
- Compression
- Lossy
Persian at a glance
- Speakers
- ~110–130 million speakers worldwide, including native and second-language speakers
- Writing system
- Perso-Arabic script (right-to-left); the Tajik variety is written in Cyrillic
- Say hello
- سلام
Frequently asked questions
How to improve the accuracy of your Persian transcripts?
Start by improving the quality of the Persian AMR file that you upload to Sonix. Please use high quality recording equipment, recording in a quiet environment, and ensure that your speakers are speaking clearly to ensure that your transcript is as accurate as possible.
Any advice for the Persian AMR file that I upload?
Yes, please do not over-compress or over-filter the audio track of your Persian AMR file. By uploading a high quality version of your audio, we can give you the best level of accuracy.
Aside from AMR, do you support other types of audio/video files?
Yes, we do! You can convert the following file types in Persian with Sonix:
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.
Can Sonix transcribe Dari or Afghan Persian audio?
Yes. Dari is a national variety of Persian, and Persian-language audio from Afghanistan can be uploaded, transcribed, edited, and exported like any other supported language.
Is Farsi the same as Persian for transcription purposes?
Farsi is the local name for Persian as spoken in Iran, so selecting Persian is the correct choice for Farsi audio. The same selection covers Iranian Persian recordings from media, interviews, and meetings.
Does Persian transcription handle right-to-left text?
Yes. Persian transcripts are produced in the right-to-left Perso-Arabic script, and you can edit them in the browser and export to formats such as Word, SRT, and VTT.
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I love it! It basically nailed every word.
I have to say the Arabic transcription was pretty awesome.
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