Summary
Foundation Year | 2019 |
Country | 🇩🇪 Germany |
Founders | Robert Gehring |
Tier | Free Trial, Paid |
Platforms | API, Web Browsers |
AI Features | Subtitle Generator, Transcription, Translation |
Pricing From | $10 Per Month |
Support | Yes (Email) |
Best Used For | Transcription and Subtitle Generator |
Affiliate Program | No |
White Label | No |
API | Yes |
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Description
Features
- Multi-Language Support
- Speaker Identification
- Domain-Specific Models
- Automatic Punctuation
- Editing Tools
- Audio Search Engine
- Export Options
- High Accuracy
Free Plan & Pricing
Refund Policy
5 Ratings
[N/A]
[3.8/5]
5app.ai Rating
[N/A]
AI Review
[N/A]
**Star Rating: 4/5** SpeechText.AI has received generally positive reviews for its accuracy and efficiency in transcribing audio and video files. Users praise its straightforward user interface and competitive pricing plans, which offer various packages to suit different needs and budgets. The service is particularly commended for its ability to transcribe in over 30 languages and its domain-specific models that improve recognition accuracy in industries like finance, healthcare, and legal. However, some users have noted minor accuracy issues with complex terminology and occasional difficulties with registration. Overall, SpeechText.AI is seen as a powerful tool for automatic transcription, offering convenience and enhancing productivity in various fields.
Last Fetched Date: October 14, 2024, 3:08 pmOur Expert's Opinion
[3.8/5]
After testing SpeechText.ai, I found it to be a helpful tool, but it has room for improvement. The transcription accuracy is impressive, especially with domain-specific models, and the support for multiple languages is a big plus. However, the speaker identification feature can sometimes miss who’s speaking, especially in noisy audio. The editing tools are easy to use, but it would be great if the interface were more intuitive for beginners. Overall, it’s a solid option, but I’ve seen similar apps with smoother user experiences and slightly better accuracy in tough audio conditions.
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