What audio formats can Sonix transcribe in Persian?
Sonix supports 50+ audio formats for Persian transcription including MP3, WAV, M4A, FLAC, OGG, WMA, AAC, and AIFF. You can upload files up to 4GB in size, and there's no limit on audio length.
Convert Persian audio files to accurate, searchable transcripts in minutes. Sonix automatically identifies speakers, adds word-level timestamps, and exports to Word, PDF, SRT, and 30+ formats.
Upload your Persian audio file from your computer, Dropbox, Google Drive, or paste a URL. Sonix supports 50+ audio formats including MP3, WAV, M4A, FLAC, and OGG.
Sonix AI automatically transcribes your Persian audio with industry-leading accuracy. Our models are specifically trained for Persian including regional accents and dialects.
Polish your transcript in our powerful browser-based editor. Click any word to jump to that point in the audio. Add speaker labels, correct errors, and highlight key passages.
Download your Persian transcript in 30+ formats including Word, PDF, plain text, SRT subtitles, and VTT captions. Share with colleagues or integrate with your workflow.
Sonix automatically detects and labels different speakers in your Persian audio. Perfect for interviews, meetings, and multi-speaker recordings.
Sonix supports 50+ audio formats for Persian transcription including MP3, WAV, M4A, FLAC, OGG, WMA, AAC, and AIFF. You can upload files up to 4GB in size, and there's no limit on audio length.
Sonix transcribes Persian audio at 10x real-time speed. A 1-hour Persian audio file is typically ready in about 5-6 minutes. You'll receive an email notification when your transcript is complete.
Sonix delivers 85-99% accuracy for Persian audio transcription, depending on audio quality. Clear audio with minimal background noise and distinct speakers achieves the best results. Our AI models are specifically trained for Persian including regional accents.
Yes. Sonix automatically detects and labels different speakers in your Persian audio. You can customize speaker names in the editor, and speaker labels are included in all export formats.
Sonix offers 30+ export formats for your Persian transcripts including Microsoft Word, PDF, plain text, SRT subtitles, VTT captions, JSON, and more. You can also export with or without timestamps and speaker labels.
Absolutely. Your files are encrypted in transit and at rest, protected from unauthorized access. Sonix is SOC 2 Type II certified with enterprise-grade security. We use bank-level encryption and strict data-storage policies.
Get your Persian transcript in minutes, not hours. Sonix transcribes at 10x real-time speed with no queue.
Industry-leading accuracy with AI models specifically trained for Persian speech patterns and accents.
Polish your transcript in our browser-based editor with synchronized audio playback and powerful editing tools.
Pay only for what you use with transparent per-minute pricing. No subscriptions or hidden fees required.
Of all the programs that do this, I found you the best!
The accuracy of the initial transcription was better than any I've used to date, and making adjustments was very simple.
I was cleaning up the transcription of the recording of my Brazilian client. Sonix did a surprisingly good job. Sonix's accuracy in transcription is great.
It's simply an amazing resource for anyone working with the spoken or written word.
I would absolutely, 100%, recommend you to a friend. I think you have an incredible program.
Having tried numerous transcription services, this was undoubtedly the best. There were features (such as the synching up of the audio to the words for review) that I hadn’t ever h...
I am very impressed with your program. The recording was not crystal clear and yet I received a perfect transcription...Wow! I would recommend this to anyone.
I am thrilled with the level of accuracy and the easy if which I am able to listen to and adjust the transcript. It’s very user friendly.
Upload your Persian audio file and get an accurate transcript in minutes. Start with 30 minutes minutes free—no credit card required.
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