Accurately convert
Arabic WMA files to text
Sonix automatically transcribes your Arabic WMA files to text in minutes. Access industry-leading artificial intelligence and the days of manually transcribing your Arabic WMA files are long gone. Arabic speech to text: Sonix has been independently reviewed the most accurate Arabic automated transcription, translation, and subtitling platform.
Free to start — no credit card required.
Thousands of Sonix customers convert their Arabic WMA files to text











Use Sonix to quickly convert
Arabic WMA 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 Arabic WMA file~1 min
Click “Upload” and locate the Arabic WMA file on your computer.
- 3Choose language: Arabic~10 sec
Select Arabic as the language spoken, then click “Transcribe”.
- 4Sonix transcribes your WMA file~5 min
Sonix transcribes your Arabic WMA file and converts it to Arabic text.
- 5Polish your Arabic transcript~2 min
Edit your Arabic transcript directly in the browser to correct any misheard words.
- 6Export Arabic text~10 sec
Export the Arabic text to MS Word, PDF, subtitles, or plain text.
Understanding Arabic WMA files
Arabic is diglossic: Modern Standard Arabic (MSA) dominates news broadcasts, speeches, and formal settings, while everyday conversation happens in regional dialects such as Egyptian, Levantine, Gulf, Iraqi, and Maghrebi. Spoken dialects can differ substantially from MSA and from each other, which affects how recognizable conversational audio is to speech recognition.
WMA technical specifications
- Codec
- Windows Media Audio (WMA Standard; Pro, Lossless, and Voice variants exist)
- Container
- ASF (Advanced Systems Format)
- Typical bitrate
- 64–192 kbps (WMA Standard)
- Sample rate
- 8–48 kHz (up to 96 kHz in WMA Pro)
- Compression
- Lossy
Arabic at a glance
- Speakers
- ~400 million speakers worldwide
- Writing system
- Arabic script (right-to-left)
- Say hello
- مرحبا!
Frequently asked questions
How to improve the accuracy of your Arabic transcripts?
Start by improving the quality of the Arabic WMA 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 Arabic WMA file that I upload?
Yes, please do not over-compress or over-filter the audio track of your Arabic WMA file. By uploading a high quality version of your audio, we can give you the best level of accuracy.
Aside from WMA, do you support other types of audio/video files?
Yes, we do! You can convert the following file types in Arabic with Sonix:
Why won't my WMA file play on my Mac or iPhone?
WMA is a proprietary Microsoft format, and Apple devices do not support it natively. You can play the file in a third-party app such as VLC, or convert it to a widely supported format like MP3 or M4A.
Does converting WMA to MP3 reduce audio quality?
Both formats are lossy, so re-encoding a WMA file to MP3 adds a second compression pass that can introduce minor quality loss. For speech recordings at typical bitrates, the difference is usually not noticeable.
Can Sonix transcribe Egyptian Arabic and other dialects?
Sonix transcribes Arabic audio, and speech close to Modern Standard Arabic generally produces the cleanest results. Dialect-heavy recordings such as Egyptian or Maghrebi conversation can be transcribed and then polished in the browser-based editor, where the text is synced to the audio.
Does Sonix handle right-to-left Arabic text?
Yes, transcripts are displayed in Arabic script and can be edited directly in the browser. Finished transcripts export to standard formats such as Word documents and SRT or VTT subtitle files.
How do I transcribe an Arabic audio or video file with Sonix?
Upload your file (up to 4 GB or 4 hours) from your computer, Dropbox, or Google Drive, select Arabic as the spoken language, and Sonix returns a transcript you can edit and export.
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