Accurately convert
Catalan AAC files to text
Sonix automatically transcribes your Catalan AAC files to text in minutes. Access industry-leading artificial intelligence and the days of manually transcribing your Catalan AAC files are long gone. Catalan speech to text: Sonix has been independently reviewed the most accurate Catalan automated transcription, translation, and subtitling platform.
Free to start — no credit card required.
Thousands of Sonix customers convert their Catalan AAC files to text
Use Sonix to quickly convert
Catalan AAC 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 Catalan AAC file~1 min
Click “Upload” and locate the Catalan AAC file on your computer.
- 3Choose language: Catalan~10 sec
Select Catalan as the language spoken, then click “Transcribe”.
- 4Sonix transcribes your AAC file~5 min
Sonix transcribes your Catalan AAC file and converts it to Catalan text.
- 5Polish your Catalan transcript~2 min
Edit your Catalan transcript directly in the browser to correct any misheard words.
- 6Export Catalan text~10 sec
Export the Catalan text to MS Word, PDF, subtitles, or plain text.
Understanding Catalan AAC files
Catalan splits into two broad dialect blocks: Eastern (including Central Catalan spoken around Barcelona, Balearic, and Alguerese in Sardinia) and Western (including Valencian, officially called Valencian in the Valencian Community). Eastern varieties reduce unstressed a and e to a schwa and unstressed o to u, while Western varieties keep these vowels distinct — a difference that affects how words sound in recordings.
AAC technical specifications
- Codec
- AAC (Advanced Audio Coding), typically the AAC-LC or HE-AAC profile
- Container
- None — raw ADTS stream; AAC audio is also commonly carried inside MP4/M4A containers
- Typical bitrate
- 96–320 kbps (128–256 kbps common)
- Sample rate
- 8–96 kHz (44.1 or 48 kHz typical)
- Compression
- Lossy
Catalan at a glance
- Speakers
- ~10 million speakers worldwide
- Writing system
- Latin alphabet
- Say hello
- Hola!
Frequently asked questions
How to improve the accuracy of your Catalan transcripts?
Start by improving the quality of the Catalan AAC 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 Catalan AAC file that I upload?
Yes, please do not over-compress or over-filter the audio track of your Catalan AAC file. By uploading a high quality version of your audio, we can give you the best level of accuracy.
Aside from AAC, do you support other types of audio/video files?
Yes, we do! You can convert the following file types in Catalan with Sonix:
What is the difference between AAC and M4A files?
Both typically contain the same AAC-encoded audio; the difference is packaging. A .aac file is a raw ADTS stream, while a .m4a file wraps the audio in an MPEG-4 container that supports metadata such as tags, artwork, and chapters.
Why won't my AAC file open in some apps?
Raw .aac files are a bare audio stream without a standard container, so some players and editors that expect MP4/M4A files cannot read them. Renaming the extension does not fix this — remux or convert the file into an M4A or MP3 instead.
Can Sonix transcribe Valencian audio?
Yes. Valencian is a variety of Catalan, so you can upload Valencian audio or video, transcribe it with the Catalan model, and edit the transcript in your browser.
Does Catalan transcription work if speakers mix in Spanish?
Occasional Spanish words and phrases are common in Catalan recordings and can appear in the transcript, but heavily mixed audio should be reviewed in the editor. If a recording is mostly Spanish, transcribe it as Spanish instead.
Can I create Catalan subtitles from my video?
Yes. After Sonix transcribes your Catalan video, you can export the transcript as SRT or VTT subtitle files, with every word individually timestamped.
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