ARK ASR 0.6B
AutoArk AI · released May 25, 2026 · AutoArk-AI/ARK-ASR-0.6B
Speech to textTranscribes a recording into words
- Type
- Open weightsApache License 2.0
- Languages
- 19
- Size
- 1.3B
Context measured in tokens
Our take
Written Aug 2, 2026ARK ASR is a tiny downloadable speech-to-text model from AutoArk AI that turns audio into written words across 19 languages. It is extremely fast and permissively licensed, though its accuracy on clean audio collapses on accented speech and meetings, and no commercial hosts currently offer it.
Pick this for lightweight self-hosted transcription where Apache licensing matters, or for batch processing where speed is critical — it processes an hour of audio in about five seconds. Use it for financial calls or clean read-aloud audio, where its accuracy is strongest. Skip it if you need commercial hosting, are transcribing meetings or accented speech, or need verified quality in any language beyond English.
The case for it
- Extremely fast batch transcription: 672 times real time on benchmark hardware, processing an hour of audio in roughly five seconds.
- Strong on clean controlled audio: about one word in seventy wrong on read-aloud speech, and roughly one in forty on financial calls — several times better than its own overall rate.
- Permissive Apache 2.0 licence with broad language coverage: 19 languages including major European and East Asian languages.
The case against it
- Accuracy degrades sharply in natural uncontrolled conditions: nearly one word in ten wrong on accented speech, and more than one in twelve on recorded meetings — several times worse than its clean-speech performance.
- No commercial hosting available; must self-host.
- Every accuracy figure is English-only; no measured quality data for any of the other 18 claimed languages.
How good is it?
TranscriptionTurning speech into text4 of 5Open ASR WER · 19th of 74
94.9%
Misses roughly one word in 19, averaged over nine English test sets.
672×35th of 62
an hour of audio in 5 seconds, on the board's own hardware. Your machine will differ.
19
Listed on the model card. The accuracy above is English only.
Percentage of words wrong on each set, lower better. Bars are scaled to this model's own worst case, not to the board.
Which languages ↓ ↑
Chinese · English · German · Japanese · French · Korean · Spanish · Polish · Italian · Romanian · Hungarian · Czech · Dutch · Finnish · Croatian · Slovak · Slovenian · Estonian · Lithuanian
The figures above come from the Open ASR Leaderboard, an independent public test that runs every model on the same recordings. It is the only measurement of transcription quality we know of, so there are no other scores to show.
These tests check whether a model follows instructions — a precondition for all the work above, but not a measure of how well that work is done, which is why they get no rating.
Every published score for this model9 scoresEvery figure we hold, from 9 boards, with who ran it and a link to the source — including the boards no rating above is built on.
Can you run it yourself?
- Fits in memory
- weights load entirely on the card
- Spills to system RAM
- some weights offload; much slower
- Too large
- will not load even with offload
- est
- size is calculated; the verdict could change by 10%
Comfortable fit
GeForce RTX 4090 · 24 GB
Room to spare. 20.7 GB spare means a 10% error in the size would not change the answer.
Apple M1 Pro (16-core GPU) · 32 GB
Room to spare. 21.9 GB spare means a 10% error in the size would not change the answer.
Apple M2 (8-core GPU, 8GB unified) · 8 GB
Room to spare. 3.9 GB spare means a 10% error in the size would not change the answer.
Memory use by level
Against a 24 GB card.
All 3 sizes here are calculated, not measured. We hold no measured file for this model, so each size comes from the parameter count and every verdict above inherits that uncertainty.
Check against your own machine → · All 71 devices, with every size →
Models people weigh against ARK ASR 0.6B
When we formed this view
Dates behind this page
Prices last checked 6h ago
What we do not know about this model yet
- We hold no measured file for it, so all 3 sizes on this page are calculated from the parameter count.
- Nothing we hold says whether an endpoint streams, so we do not show it either way.
Licence and identifiers
What the licence allowsApache License 2.0, what it allows commercially, and the identifiers you need to pull this model — its Hugging Face repo, our slug and a machine-readable card.
Licence
Apache License 2.0
Fully permissive: commercial use, redistribution, and derivatives allowed. Requires attribution and a copy of the license. Includes an express patent grant.
Identifiers
- Hugging Face
- AutoArk-AI/ARK-ASR-0.6B
- Architecture
- Dense
- Modality record
- audio->text
- Catalogue slug
- autoark-ai-ark-asr-0-6b