Free
$0Free plan available.
TurboScribe is an AI-powered speech-to-text transcription and translation tool. It leverages Whisper technology for accurate transcription in over 98 languages. It also offers built-in translation to 134+ languages and speaker recognition capabilities. TurboScribe prioritizes user privacy and data security, ensuring that files and transcripts are encrypted and data is automatically deleted daily.
Use TurboScribe to transcribe audio or video files into text. You can then translate the resulting transcripts into other languages. The platform automatically identifies and distinguishes between different speakers in your audio files.
TurboScribe is powered by Whisper, a highly accurate AI-based speech-to-text technology.
TurboScribe supports transcription for over 98 spoken languages and offers translation capabilities for more than 134 languages.
Yes, your data remains private and accessible only to you. All files and transcripts are stored with encryption, and data is automatically deleted daily. Your information stays within your account and is not shared.
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to TurboScribe - Chrome Extension.
Compare Gemini 1.0 Pro Deprecated and Gemini 1.5 Flash Deprecated across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus general-purpose AI workloads.
Compare Gemini 1.0 Pro Deprecated and Gemini 1.5 Flash Vision Deprecated across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus general-purpose AI workloads.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.5 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.5 Flash Image across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.