# Vatis Tech vs Whisper (OpenAI)

Vatis Tech records 41,675 monthly visits with -33.8% month-over-month growth and Free Trial, Contact for Pricing pricing. Whisper (OpenAI) records 0 monthly visits with — growth and Free pricing.

| Metric | [Vatis Tech](https://openaitools.app/tool/vatis-tech) | [Whisper (OpenAI)](https://openaitools.app/tool/whisper-github) |
| :--- | :--- | :--- |
| Website URL | https://vatis.tech | https://github.com/openai/whisper |
| Categories | AI Transcriber, AI Transcription, AI API, Audio To Text AI | AI Speech Recognition, AI Speech-to-Text, AI Transcriber, AI Translate |
| Pricing Model | Free Trial, Contact for Pricing | Free |
| Monthly Visits | 41,675 | 0 |
| MoM Growth Rate | -33.8% | — |
| Primary Market | Romania | Global |
| Direct Visits | 18,146 | 0 |
| Review Score | 4.2 | 4.8 |
| Saved Count | 4 | 3 |
| Supported Platforms | Website | Open Source |

## Vatis Tech

Vatis Tech is a speech-to-text company that offers the same underlying models two ways: a web transcription platform for individuals and teams who want to upload a file and get text back, and a developer API for products that need to transcribe audio at scale. The platform accepts drag-and-drop files, pasted links and live browser recordings, handles both audio and video formats, and exports clean text as TXT, DOCX, PDF, SRT or VTT after editing in the built-in editor.

Its differentiation is accuracy on real, messy audio rather than studio recordings, backed by an independent benchmark from the University of Bucharest that scored seven transcription systems on over 126 hours of Romanian speech. Vatis finished in the top two overall, ahead of Google's Chirp on every test set in the study and best in class on broadcast news and podcasts. The company is best known for Romanian, where its models are trained on proprietary data, but it publicly markets 50+ languages and the same model family for English, Spanish, French, German, Italian, Portuguese, Arabic, Japanese, Korean and more. A streaming model for real-time Romanian voice agents and contact-centre use is in development through an early-access programme.

Pricing is split between subscriptions and usage. The transcription platform runs on monthly hour buckets (Basic, Standard, Pro) with overages at €5 per hour and yearly plans billed as ten months for twelve. The asynchronous API is pay-as-you-go at €0.22 per hour of audio with €10 of free credit on new accounts. Audio Intelligence — summaries, chapters, topics, sentiment and PII redaction — is billed per token on top of the underlying transcription. Enterprise agreements cover volume discounts, SLAs, unlimited concurrency, dedicated support and on-premise deployment; the compliance posture advertised is GDPR compliance, ISO 27001 certification and SOC 2 Type II in progress.

**Pricing & Plans:** Free 10 minutes with no signup, then subscription plans: Basic €10/month (10 hours), Standard €27/month (30 hours) and Pro €89/month (100 hours), with extra hours at €5/h. The async Speech-to-Text API is €0.22 per hour of audio, pay as you go, with €10 of credit on new accounts; Audio Intelligence is metered separately by token. Enterprise is custom-quoted.

- **50+ languages at 95%+ accuracy:** Upload audio or video by file, link or live browser recording. Vatis accepts MP3, WAV, M4A, FLAC, AAC and OGG audio plus MP4, MKV, AVI, MOV and WebM video, and typically returns a 1-hour file in under a minute.
- **Speaker diarization, summaries and chapters:** Interviews, meetings and podcasts get automatic speaker labels, extracts of key quotes, chapter markers and a summarised version of the recording, all generated from the same transcript.
- **Developer API with pay-as-you-go pricing:** The asynchronous Speech-to-Text endpoint supports payloads of any length and returns diarization and word-level timestamps. Every new account gets €10 of credit for building against the API.
- **Translation and subtitle generation:** Turn a transcript into subtitles or captions in another language without leaving the platform, and export timed files as SRT or VTT for video workflows.
- **GDPR, ISO 27001 and enterprise controls:** Vatis states GDPR compliance and ISO 27001 certification, with SOC 2 Type II in progress, plus enterprise options such as private cloud and on-premise deployment, SLAs and unlimited concurrency.

**Strengths:** Strong independently benchmarked accuracy, especially on Romanian audio; Genuinely generous free tier: 10 free minutes plus €10 of API credit; Wide input and output format support, including SRT and VTT for subtitles; Transparent published API pricing at €0.22 per hour, a fraction of Google's rate

**Limitations:** Subscription hours are billed monthly and unused subscription balance expires when a plan lapses; Real-time streaming is still in early access and limited to Romanian; The headline accuracy claim is strongest in Romanian — other languages are marketed as broad but without the same public benchmark detail; Audio Intelligence analysis is priced per token on top of transcription, adding up quickly at scale

[Profile (Markdown)](https://openaitools.app/tool/vatis-tech.md)

## Whisper (OpenAI)

Whisper was introduced by OpenAI as a general-purpose speech recognition model trained on a very large, diverse dataset of web audio. Instead of stacking separate acoustic, language and punctuation modules, it treats every speech task as a token prediction problem: transcription, translation, language identification and voice activity detection all share one Transformer encoder-decoder and are distinguished by special task tokens. That single-model design is why a straightforward `pip install` is enough to get multilingual transcription running on a laptop, and why Whisper has become a de facto baseline for open speech-to-text work.

The repository ships six model sizes — tiny, base, small, medium, large and a faster turbo variant — trading accuracy for memory and speed. Each size also has an English-only `.en` counterpart that tends to score better on English audio, while the multilingual checkpoints are the ones to use when translating non-English speech into English. Practical VRAM needs range from roughly 1 GB for tiny up to about 10 GB for large, so the smaller checkpoints run comfortably on consumer hardware or even CPU, while large models are usually paired with a GPU.

Because Whisper is a model and a Python package rather than a hosted product, there is no dashboard, account or quota. You install it, point the command line at audio files, and write your own integration on top. It supports many audio formats through ffmpeg, and its per-language accuracy varies widely — strong for high-resource languages, weaker for low-resource ones — which is worth knowing before adopting it for production transcription.

**Pricing & Plans:** Free and open source. The code and weights are published on GitHub under the MIT license with no usage fees or per-minute charges, though you pay for whatever compute you run it on and any OpenAI API usage if you pair it with their hosted services.

- **Multitask single model:** One Transformer handles transcription, speech translation into English, language identification and voice activity detection, selected through special task tokens.
- **Multiple model sizes:** Choose from tiny, base, small, medium, large and turbo checkpoints, with English-only .en variants, to balance accuracy against VRAM and speed.
- **Broad language coverage:** Multilingual checkpoints transcribe and translate dozens of languages, with automatic language detection on mixed-language audio.
- **Command-line and Python API:** Install via pip with openai-whisper and transcribe files from the terminal or from your own Python code, with ffmpeg handling audio decoding.
- **Permissive MIT license:** Freely embed, modify and redistribute the code and weights in commercial and personal projects without licensing fees.

**Strengths:** Completely free and open source under a permissive MIT license; Strong multilingual accuracy across many languages with automatic detection; Runs locally, so audio never has to leave your hardware; Several model sizes let you match accuracy to available compute

**Limitations:** No hosted UI, account or support — you must install and operate it yourself; Large models need substantial VRAM and a GPU for reasonable speed; Accuracy drops noticeably on low-resource languages and noisy audio; Setup requires Python, PyTorch and ffmpeg, which can be fiddly for non-developers

[Profile (Markdown)](https://openaitools.app/tool/whisper-github.md)

## Frequently Asked Questions

### How do Vatis Tech and Whisper (OpenAI) compare in monthly traffic?

Vatis Tech has 41,675 monthly visits, while Whisper (OpenAI) has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Vatis Tech has a month-over-month growth rate of -33.8%; Whisper (OpenAI) has —.

### How does pricing compare?

Vatis Tech: Free Trial, Contact for Pricing. Free 10 minutes with no signup, then subscription plans: Basic €10/month (10 hours), Standard €27/month (30 hours) and Pro €89/month (100 hours), with extra hours at €5/h. The async Speech-to-Text API is €0.22 per hour of audio, pay as you go, with €10 of credit on new accounts; Audio Intelligence is metered separately by token. Enterprise is custom-quoted. Whisper (OpenAI): Free. Free and open source. The code and weights are published on GitHub under the MIT license with no usage fees or per-minute charges, though you pay for whatever compute you run it on and any OpenAI API usage if you pair it with their hosted services.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [TurboScribe](https://openaitools.app/tool/turboscribe-ai) | 27,661,771 | +2.1% | Freemium | Unlimited AI transcription of audio and video in 98+ languages | [.md](https://openaitools.app/tool/turboscribe-ai.md) |
| 2 | [Happy Scribe](https://openaitools.app/tool/happyscribe-com) | 4,088,330 | +8% | Freemium, Free Trial, Paid | AI transcription and meeting notes in 150+ languages | [.md](https://openaitools.app/tool/happyscribe-com.md) |
| 3 | [Video Transcriber AI](https://openaitools.app/tool/video-transcriber-ai) | 1,320,064 | +11% | Freemium | Turn any video or audio into text in seconds | [.md](https://openaitools.app/tool/video-transcriber-ai.md) |
| 4 | [Deepgram Voice AI](https://openaitools.app/tool/deepgram-voice-ai) | 863,852 | +31.8% | Free Trial | Real-time speech-to-text, text-to-speech and voice agents in one API platform | [.md](https://openaitools.app/tool/deepgram-voice-ai.md) |
| 5 | [Sonix AI](https://openaitools.app/tool/sonix-ai) | 646,532 | +8% | Free Trial, Paid, Contact for Pricing | AI transcription, translation and subtitles for audio and video | [.md](https://openaitools.app/tool/sonix-ai.md) |
| 6 | [Transkriptor](https://openaitools.app/tool/transkriptor-com) | 628,671 | -3.6% | Free Trial, Paid | AI transcription that turns audio and video into searchable text | [.md](https://openaitools.app/tool/transkriptor-com.md) |
| 7 | [AssemblyAI](https://openaitools.app/tool/assemblyai) | 453,591 | -6.9% | Freemium, Contact for Pricing | Speech-to-text and voice intelligence APIs for developers | [.md](https://openaitools.app/tool/assemblyai.md) |
| 8 | [Tongyi Tingwu](https://openaitools.app/tool/tongyi-tingwu) | 425,484 | -10% | Free | Your AI assistant for work and study. | [.md](https://openaitools.app/tool/tongyi-tingwu.md) |
| 9 | [OpenWhispr](https://openaitools.app/tool/openwhispr) | 291,756 | -13.3% | Free | Free open-source dictation that runs speech-to-text on your own machine | [.md](https://openaitools.app/tool/openwhispr.md) |
| 10 | [Transcri](https://openaitools.app/tool/transcri) | 269,989 | -6.3% | Freemium | AI transcription and subtitle generation in over 100 languages | [.md](https://openaitools.app/tool/transcri.md) |

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Source: https://openaitools.app/compare/vatis-tech-vs-whisper-github

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