Transkriptor converts spoken audio and video into written text using AI-powered speech recognition, reaching accuracy levels of up to 99% for clear recordings. Built for professionals, students, journalists, and businesses, the platform handles everything from short voice memos to hour-long meetings and lectures. You upload a file or record directly within the app, and Transkriptor generates a full transcript in minutes, complete with speaker labels so conversations with multiple participants stay easy to follow.
Support for over 100 languages makes it a practical option for teams working across regions, while a built-in editor allows corrections, formatting, and annotations without leaving the platform. Transcripts can be exported in several formats, including Word, PDF, TXT, and SRT for subtitles, so the output fits directly into existing workflows. Transkriptor goes beyond raw transcription with a set of AI features layered on top.
These include automatic summaries that pull out key points and action items, sentiment analysis for reading the tone of a conversation, and an AI chat function that lets you ask questions about a transcript instead of scrolling through it manually. Subtitle generation and text-to-speech round out the toolkit for content creators working with video. The platform is available as a web app, browser extension, and mobile app for Android and iOS, so recording can be captured and processed from wherever they happen.
For anyone spending hours manually transcribing interviews, lectures, or client calls, Transkriptor offers a faster and more organized alternative. Check out the latest offers and discounts on our marketplace to see how you could save on your software stack!
Features
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Automatic transcription
Transkriptor converts uploaded audio and video files into written text using AI speech recognition, reaching accuracy of up to 99% for clear recordings within minutes.
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Speaker identification
The platform automatically detects and labels different speakers in a recording, making transcripts of meetings, interviews, and group discussions far easier to follow and review.
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Multi-language support
Transkriptor transcribes and translates content across more than 100 languages, giving international teams and researchers a practical way to process multilingual recordings in one place.
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Built-in transcript editor
An integrated editor lets you play back audio while reading the text, then correct wording, adjust formatting, and add notes without switching to a separate tool.
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AI summaries and insights
The platform generates automatic summaries that surface key points, action items, and conversation highlights, saving users from reading through a full transcript line by line.
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Subtitle and export options
Transcripts can be exported as Word, PDF, TXT, or SRT files, so subtitles and written records fit directly into existing content or documentation workflows.
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AI chat with transcripts
You can ask questions directly about their transcript content through a chat interface, pulling out specific details or context without manually searching the full text.
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Multi-platform access
Transkriptor is available as a web app, Chrome extension, and mobile app for Android and iOS, allowing recordings to be captured and transcribed from anywhere.
Pricing
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Lite
$9.99 per month
- 300 minutes of transcription time/month
- Upload and convert multiple audio/video files
- Organize, edit, and collaborate on transcripts
- Translate, share, and download transcripts
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Pro
$19.99 per month
- 2,400 minutes of transcription time/month
- AI summary and chat
- Custom meeting summary templates
- Knowledge base
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Team
$30 per seat per month
- 3,000 minutes of transcription time/month
- Custom vocabulary
- Call analysis
- Advanced analytics
Pros and cons
Pros
- High transcription accuracy: Transkriptor delivers up to 99% accuracy for clear audio
- Broad language coverage: Support for more than 100 languages makes the platform useful for multilingual recordings
- Added AI features: Summaries, sentiment analysis, and transcript-based chat give you more than a raw transcript
Cons
- Accuracy: Background noise, overlapping speakers, and strong accents can reduce transcript quality
- Costs scale with usage: Heavier users transcribing many hours of audio each month may find themselves needing higher-tier plans
- Learning curve: Getting the most out of AI summaries, sentiment analysis, and editing tools takes some time to learn