Accurately convert Thai AMR files to text
Sonix automatically transcribes your Thai AMR files to text in minutes. Access industry-leading artificial intelligence and the days of manually transcribing your Thai AMR files are long gone. Thai speech to text: Sonix has been independently reviewed the most accurate Thai automated transcription, translation, and subtitling platform.
Free to start — no credit card required.
Thousands of Sonix customers convert their Thai AMR files to text
Use Sonix to quickly convert
Thai 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 Thai AMR file~1 min
Click “Upload” and locate the Thai AMR file on your computer.
- 3Choose language: Thai~10 sec
Select Thai as the language spoken, then click “Transcribe”.
- 4Sonix transcribes your AMR file~5 min
Sonix transcribes your Thai AMR file and converts it to Thai text.
- 5Polish your Thai transcript~2 min
Edit your Thai transcript directly in the browser to correct any misheard words.
- 6Export Thai text~10 sec
Export the Thai text to MS Word, PDF, subtitles, or plain text.
Understanding Thai AMR files
Standard Thai, based on the Central Thai spoken in and around Bangkok, dominates broadcasting, education, and most recorded media, and it is the variety speech recognition models target. Regional varieties — Northern Thai (Kham Mueang), Northeastern Thai (Isan, closely related to Lao), and Southern Thai — differ noticeably in tones and vocabulary, so heavily dialectal recordings typically need more editing.
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
Thai at a glance
- Speakers
- ~60 million speakers worldwide
- Writing system
- Thai script (written left to right, with no spaces between words)
- Say hello
- สวัสดี!
Frequently asked questions
How to improve the accuracy of your Thai transcripts?
Start by improving the quality of the Thai 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 Thai AMR file that I upload?
Yes, please do not over-compress or over-filter the audio track of your Thai 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 Thai 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 Thai audio and video files?
Yes. Upload your Thai audio or video file, and Sonix converts it to text that you can proofread in the in-browser editor and export to formats such as Word documents or subtitle files.
Does Thai transcription handle Isan or other regional dialects?
Thai speech recognition is built around Standard (Central) Thai. Recordings with strong Isan, Northern, or Southern dialect speech can still be transcribed, but plan for additional proofreading time in the editor.
Can I create Thai subtitles from my transcript?
Yes. After transcribing and polishing your Thai transcript, you can export it as SRT or VTT subtitle files for video captioning.
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This is the greatest transcription service I've ever seen. I am so pleased with the results and I am recommending your services 100 out of 10.
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