Accurately convert
Persian MPGA files to text
Sonix automatically transcribes your Persian MPGA files to text in minutes. Access industry-leading artificial intelligence and the days of manually transcribing your Persian MPGA 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 MPGA files to text
Use Sonix to quickly convert
Persian MPGA 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 MPGA file~1 min
Click “Upload” and locate the Persian MPGA file on your computer.
- 3Choose language: Persian~10 sec
Select Persian as the language spoken, then click “Transcribe”.
- 4Sonix transcribes your MPGA file~5 min
Sonix transcribes your Persian MPGA 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 MPGA 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.
MPGA technical specifications
- Codec
- MPEG-1 Audio Layer III (some files use Layer I or II)
- Typical bitrate
- 32–320 kbps (commonly 128–192 kbps)
- Sample rate
- 32–48 kHz (commonly 44.1 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 MPGA 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 MPGA file that I upload?
Yes, please do not over-compress or over-filter the audio track of your Persian MPGA file. By uploading a high quality version of your audio, we can give you the best level of accuracy.
Aside from MPGA, 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 MPGA file open in my media player?
Some players do not recognize the .mpga extension even though the audio inside is standard MPEG audio. Renaming the file with an .mp3 extension usually lets any MP3-capable player open it.
Is an MPGA file the same as an MP3?
In most cases the audio data is identical, since both typically use MPEG-1 Audio Layer III encoding. The .mpga extension simply appears more often on audio tracks extracted from MPEG video files.
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 absolutely loved how well the software was able to distinguish between individual speakers. Exceptional product and well-polished.
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