Free private local Arabic audio transcriber
Turn Arabic speech into timed subtitles directly in your browser. Fully private on-device Whisper with WebGPU acceleration and SRT or VTT export.
Drop an audio or video file here
or click to choose files from your device
Up to 200 MB · Demuxed in browser memory · Local Whisper, never uploaded
The default: multilingual, accurate enough for real use, and small enough to download once without thinking about it.
Free to use · No account · No audio upload
· Offline after model download
What this Arabic audio transcriber does
Transcribing Arabic audio locally means voice tracks never leave your computer. Instead of streaming confidential recordings to cloud APIs, your browser downloads an optimized Whisper neural network once and computes speech-to-text tokens on your local hardware.
Arabic is the trickiest case among the well-supported languages. Modern Standard Arabic — news, formal speech — transcribes reasonably, but dialects diverge sharply from it and are much weaker. Short vowels are not written, so the output looks correct while carrying less information than the audio did. News broadcasts and formal speech are the workable case; conversational dialect audio is not reliably transcribed.
Learn how in-tab speech recognition architectures function in browser speech recognition, or read why private audio transcription protects professional confidentiality.
- Timestamped phonetic segmentation
- Every spoken Arabic phrase is timestamped to the millisecond, producing subtitle cues ready for video editors.
- Native video container decoding
- Extract audio directly from MP4, WebM, and MOV containers without running ffmpeg or installing separate desktop utilities.
- Zero data upload guarantee
- Execution takes place entirely within client WebAssembly and WebGPU pipelines. Zero voice bytes travel across the internet.
How to transcribe Arabic audio
Three straightforward steps from your sound recording to timestamped text.
Decode Arabic audio in your tab
Drop an audio recording or video file. The browser decodes the audio track into 16 kHz mono floating-point audio in memory without sending network packets.
Run Whisper on local hardware
OpenAI Whisper executes on your GPU via WebGPU or CPU via WebAssembly, predicting phonetic tokens and timestamped cues directly on your device.
Export subtitles or translate into English
Download production-ready SRT or WebVTT subtitles, save plain text, or translate cues into English for dual-language video playback.
Optimized Whisper models for Arabic
Downloaded once and cached in IndexedDB. Select the ideal trade-off between memory footprint and phonetic precision for Arabic.
| Model | Download | Languages | Best Application |
|---|---|---|---|
| Whisper tiny | 39 MB | Multilingual (99+) | The smallest multilingual option. Noticeably less accurate, but it runs on almost anything and is the sensible choice without a GPU. |
| Whisper base | 73 MB | Multilingual (99+) | The default: multilingual, accurate enough for real use, and small enough to download once without thinking about it. |
| Whisper small | 238 MB | Multilingual (99+) | Clearly better on accents, background noise and proper nouns. Large enough that it is only offered on a desktop with WebGPU. |
WebGPU Acceleration: Chromium browsers automatically run Whisper on your device's graphics chip. If WebGPU is unavailable, Whisper falls back to optimized WebAssembly SIMD threads on your CPU.
What to know before transcribing Arabic audio
On-device inference guarantees confidentiality, but acoustic factors determine recognition fidelity.
- Acoustic clarity drives recognition precision
- Clear single-speaker recordings captured with a nearby microphone transcribe with exceptional accuracy. Room reverberation, heavy background music, and overlapping crosstalk reduce recognition precision.
- Subtitles rather than burnt-in video
- This tool produces standard timed subtitle files (SRT, VTT) and plain text documents. It does not re-encode your video to permanently burn text onto video frames.
- Memory capacity and recording length
- Files up to 200 MB are decoded directly into browser RAM. Standard 30 to 60 minute lectures and interviews process smoothly on desktop hardware.
Arabic audio transcription FAQ
Common questions about converting Arabic speech to text and subtitles in your browser.
What is a Arabic audio transcriber?
A Arabic audio transcriber converts spoken Arabic audio or video into timestamped text cues and subtitles. Instead of uploading sensitive recordings to third-party speech clouds, this on-device software executes OpenAI Whisper speech recognition models locally in your browser tab.
How do I transcribe Arabic audio without uploading it?
Drop an audio or video file above. The spoken language is pre-set to Arabic. The browser decodes the audio track into raw PCM buffers and feeds them to an on-device Whisper model, with zero network requests transmitting your recording.
How accurately does speech recognition handle Arabic?
Arabic is the trickiest case among the well-supported languages. Modern Standard Arabic — news, formal speech — transcribes reasonably, but dialects diverge sharply from it and are much weaker. Short vowels are not written, so the output looks correct while carrying less information than the audio did. Whisper handles Arabic speech naturally, automatically formatting dates, numbers, and sentence punctuation into clean subtitle cues.
What kind of Arabic recordings work best?
News broadcasts and formal speech are the workable case; conversational dialect audio is not reliably transcribed. Clear audio with minimal background noise yields optimal recognition fidelity. On modern devices with WebGPU, transcription runs multiple times faster than real time.
Can I export timed subtitles in Arabic and English?
Yes. You can export industry-standard SRT or WebVTT subtitle files ready for YouTube, Premiere, or VLC, download plain text transcripts, or export a bilingual subtitle file pairing Arabic with English.
Is my recording confidential and secure?
Yes. The transcription software contains no backend storage endpoints. Client interviews, doctor-patient recordings, university lectures, and internal business presentations remain entirely within your device memory.
Other transcription languages
Whisper multilingual speech recognition models covering major global language families.
More ways in: video subtitles · Whisper in a browser
Transcribe speech with this free Arabic audio transcriber
Drop an audio recording or video file to start transcribing Arabic immediately with private on-device Whisper.