ScribeForge uses xAI Grok — one of the most advanced large language models available — as the AI engine behind its audio transcription service. The result: fast, accurate transcriptions with speaker labels, timestamps, and support for 50+ languages. No account required.
Upload an audio file and get a transcript right now — free.
Transcribe with Grok AI →Grok is xAI's flagship large language model, built with a focus on reasoning, real-time knowledge, and multimodal capabilities — including audio understanding. Unlike older automatic speech recognition (ASR) systems that rely on purely acoustic models, Grok brings language-level context into the transcription pipeline, making it particularly strong on:
ScribeForge integrates directly with the Grok API (scribe_v2 model) to deliver transcription results typically in under 30 seconds for files up to 25 MB.
Drag and drop or select an audio file (MP3, WAV, M4A, FLAC, OGG, WEBM, or MP4 audio track) on the ScribeForge homepage. No account needed.
The file is securely sent to the Grok API, which performs speech recognition enriched with language-model context — catching homophones, proper nouns, and sentence boundaries more reliably than pure ASR.
Within seconds you get a full transcript with segment-level timestamps, automatic speaker diarization (who said what), and punctuation.
Download as plain text or copy directly to your clipboard. Paid plans give you more credits to transcribe at scale.
| Feature | Detail |
|---|---|
| Timestamps | Segment-level, included in every transcript |
| Speaker labels | Automatic diarization — multiple speakers per file |
| Languages | 50+ languages detected automatically |
| Max file size | 25 MB per file |
| Processing speed | ~1 min of audio transcribed in <10 seconds (typical) |
| Export formats | Copy to clipboard or download as TXT |
| Privacy | Files deleted from servers after processing |
ScribeForge accepts the most common audio and video container formats:
If your format isn't listed, convert it to MP3 with a free tool like Audacity before uploading.
Grok's language model context gives it an edge in word error rate (WER) on real-world recordings — especially those with background noise, multiple speakers, or technical vocabulary. In internal tests on English podcast audio, ScribeForge achieves a WER of roughly 4–7% on clean recordings and 10–15% on noisier sources, comparable to leading ASR services.
Languages with strong support include: English, Spanish, French, German, Italian, Portuguese, Dutch, Polish, Russian, Japanese, Korean, Mandarin Chinese, Arabic, Hindi, and 35+ more. Language is detected automatically — no need to specify it before uploading.
See our full benchmark: Grok STT vs Whisper vs Deepgram for detailed accuracy numbers across six audio conditions.
Several AI transcription engines are available today. Here's how Grok-powered ScribeForge compares on the dimensions that matter most for everyday users:
| Engine / Tool | Strength | Limitation |
|---|---|---|
| ScribeForge (Grok) | Context-aware accuracy, fast, free tier, no account | 25 MB file limit |
| OpenAI Whisper | Open-source, local processing possible | Requires setup; no speaker diarization out of the box |
| AssemblyAI | Enterprise API, rich features | Paid-only, developer-focused |
| Otter.ai | Real-time meeting notes | English-centric, account required |
| Rev AI | High accuracy, human fallback | Expensive per-minute pricing |
The key differentiator of Grok as a transcription backbone is its language-model reasoning layer: it can infer correct spelling of unusual names, industry terms, and even code-switched phrases that pure acoustic models often mangle.
Try Grok AI transcription now — no sign-up, results in seconds.
Transcribe Your Audio Free →No account · No credit card · 2 free/day