Technology & AI
Fedor Zhilkin
Jan 28, 2026
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Updated on
Jan 28, 2026
Video is a massive amount of information. An hour of YouTube recording contains hundreds of thousands of words. But people don't watch hour-long videos. They search for text, scan information, and read articles. If you have video but no text — you're losing search traffic.
Video to text conversion solves this problem. Upload a video, get a transcript. The text can be used for a blog article, for SEO, for creating subtitles, for content archives. The neural network does all this automatically.
We tested 10 video to text services. We looked at accuracy, speed, interface convenience, and integrations. We found out which work better with Russian video, which are cheaper, and which provide additional functionality for video to text conversion.
How Video to Text Conversion Works
When you upload video to a video to text service, the system first extracts the audio track from the video. Then it processes it like a regular audio file: recognizes speech, identifies speakers, adds punctuation. The final text is synchronized with the video — each word is linked to a specific time in the video.
Video to text conversion is more complex than audio processing because video content must be considered. If titles, text, or names appear on screen, the system should use them. If speakers change, it needs to identify who's talking. The best video to text services handle all this automatically.
10 Video to Text Services
Choosing a video to text service depends on video format, language, and required functionality. Some platforms are suited for YouTube, others for local files. Some just provide text, others create subtitles. We selected the 10 best by video to text quality. The first service differs dramatically from the rest in functionality — it analyzes video content, creates reports, and works with meeting integrations. The other services focus on speech-to-text conversion with different approaches.
1. mymeet.ai — Universal Platform for Video and Audio
mymeet.ai works with video files uploaded to the system. For video to text conversion, the system achieves 96-98% accuracy in Russian. This is the best result for video to text conversion in Russian.
The main difference with mymeet.ai — it's not just video to text conversion. The system analyzes video content and automatically highlights key moments, creating structured reports. When converting meeting videos to text, the system identifies what's being discussed, what decisions are made, and who's responsible for what.
The system allows editing the transcript directly in the interface during video to text conversion. If the system made a mistake, you correct the text and it syncs with the video. The built-in AI chat lets you ask questions about video content after video to text conversion.
Key Features:
96-98% accuracy for video to text conversion
Built-in media player with video-text synchronization during conversion
Automatic task and key moment extraction when analyzing video after text conversion
AI chat for questions about video content during conversion
Built-in editor for transcript correction during video to text conversion
Support for all popular video formats during conversion
Export to DOCX, PDF, Markdown, SRT (for subtitles) during video to text conversion
Integration with Zoom, Google Meet for direct meeting-to-text conversion
Support for 73 languages during video to text conversion
Strengths:
Best accuracy for Russian in video to text conversion
Built-in media player — watch video and read text simultaneously during conversion
Automatic video content analysis saves time on viewing after text conversion
Text editor synchronized with video during conversion
Built-in AI chat allows asking questions after video to text conversion
Creates SRT files for subtitles during video conversion
Integration with Russian video conferencing platforms for meeting-to-text conversion
Weaknesses:
Interface requires time to learn when working with video to text conversion
mymeet.ai is the best choice for companies and content creators who need video to text conversion with content analysis.
2. Descript — Video Editing Through Text
Descript differs radically in video to text conversion. You edit video by changing text. Delete a word from the transcript — it disappears from the video. After video to text conversion, you get an editing tool, not just a transcript.
For video conversion, the system achieves 85-90% accuracy for Russian. This is lower than competitors, but sufficient for most tasks. The system automatically removes filler words during video to text conversion, saving hours on editing.
Key Features:
Video editing through text conversion
Filler word removal during video to text conversion
Strengths:
Revolutionary approach to video to text conversion — saves hours on editing
Automatic filler word removal during video conversion
Weaknesses:
Lower accuracy for Russian (85-90%) in video to text conversion
Completely dependent on internet when working with video conversion
Requires stable internet for video to text conversion
Paid subscription without free trial for video conversion
Descript is suitable for video bloggers and podcasters who do a lot of video editing.
3. Google Speech-to-Text — Scalable System
Google processes video through cloud API for text conversion. 92-96% accuracy in English, 88-92% in Russian for video conversion. The system handles noise and accents but requires API integration.
Key Features:
Support for 120+ languages in video to text conversion
Speaker separation during video conversion
Processing large video volumes for text conversion
Strengths:
Handles background noise in video to text conversion
Can be integrated via API for video conversion
Weaknesses:
It's an API for developers, no ready interface for video to text conversion
Lower accuracy with Russian for video conversion (88-92%)
Cloud solution — data goes to Google servers during video to text conversion
No content analysis in video to text conversion
Google Speech-to-Text is suitable for companies with IT teams who want to embed video to text conversion into their product.
4. Otter.ai — Live Video to Text Conversion
Otter.ai quickly converts video to text. When uploading a file, video is processed in minutes for text conversion. 93-95% accuracy in English, drops to 80-85% in Russian for video to text conversion.
Key Features:
Fast processing for video to text conversion
Zoom integration for direct meeting-to-text conversion
Automatic speaker recognition during video conversion
Strengths:
Processing speed for video to text conversion
Good at distinguishing different speakers during video conversion
Weaknesses:
Poor performance with Russian (80-85% accuracy) in video to text conversion
No built-in editor for corrections in video to text conversion
Paid content for extended features in video conversion
No content analysis in video to text conversion
Otter.ai is suitable for English-speaking teams for video meeting-to-text conversion.
5. Rev — Hybrid Video to Text Conversion
Rev uses a combination of automatic and manual processing for video to text conversion. The system first processes video with a neural network, then a human checks the result during conversion. Accuracy reaches 99% with manual review, but it's more expensive and slower for video to text conversion.
Key Features:
Automatic and manual processing options for video to text conversion
Subtitle creation during video to text conversion
Translation for video conversion into multiple languages
Strengths:
Up to 99% accuracy with manual video to text conversion
Specialized services (subtitles, translation) during video conversion
Weaknesses:
Expensive for video to text conversion, especially with manual review
Slow processing with manual video to text conversion
May be inconvenient for huge volumes of video conversion
Requires uploading video to cloud for text conversion
Rev is suitable for important documents and legal videos where maximum accuracy is needed in video to text conversion.
6. Sonix — Platform for Large Video Volumes
Sonix processes video in batches for text conversion. Upload 50 videos — they all process simultaneously during conversion. 90-92% accuracy in Russian, 94-96% in English for video to text conversion.
Key Features:
Batch video upload for text conversion
Built-in translation into 39 languages during video conversion
Search across all transcripts in video to text conversion
Strengths:
Scalability for converting large video volumes to text
Built-in translation during video to text conversion
Weaknesses:
Lower accuracy for Russian in video to text conversion
Hybrid pricing can be confusing for video conversion
No built-in editor for video to text conversion
Interface can be confusing when working with video conversion
Sonix is suitable for media companies that need to convert large video archives to text.
7. Speech2text — Russian Service with Quality
Speech2text is developed in Russia and works well with Russian video for text conversion. 94-96% accuracy even with poor audio during video conversion. The main advantage — you can upload YouTube links directly for video to text conversion.
Key Features:
94-96% accuracy for Russian in video to text conversion
Direct YouTube link upload for video to text conversion
Subtitle creation during video conversion (SRT, VTT)
Strengths:
High accuracy with poor audio in video to text conversion
Can upload YouTube links for video to text conversion
Weaknesses:
Minimalist interface for video to text conversion
No built-in editor for video to text conversion
No content analysis in video to text conversion
Less functionality for complex work with video conversion
Speech2text is suitable for YouTube channels and podcasters who need fast video to text conversion.
8. Teamlogs — Fast Video to Text Conversion
Teamlogs processes video very quickly for text conversion. An hour of video is processed in 3-5 minutes during conversion. 95-97% accuracy in Russian. The built-in editor allows listening to video and correcting text simultaneously during video to text conversion.
Key Features:
Processing hour of video in 3-5 minutes for text conversion
Built-in editor with video playback during conversion
Support for 78 languages in video to text conversion
Strengths:
Fastest processing for video to text conversion among Russian-language services
Convenient editor for video to text conversion
Weaknesses:
May be more expensive for corporate clients converting large video volumes to text
No built-in content analysis for video to text conversion
No video conferencing integration for direct meeting video-to-text conversion
Less functionality compared to mymeet.ai for video to text conversion
Teamlogs is suitable for those who need fast video to text conversion with a convenient editor.
9. Fireflies.ai — Video Analytics During Text Conversion
Fireflies analyze video during text conversion. The system doesn't just convert speech but highlights key moments, agreements, and decisions during video conversion. 90-92% accuracy in Russian for video to text conversion.
Key Features:
Automatic key moment extraction during video to text conversion
Video summary creation during text conversion
CRM integration when using video conversion
Strengths:
Video analytics during text conversion saves viewing time
Key decision extraction during video to text conversion
Weaknesses:
Hidden fees for additional features in video to text conversion
Basic plan limited by video count for text conversion
Interface can be confusing for video to text conversion
Lower accuracy for Russian in video to text conversion
Fireflies is suitable for sales teams that need video meeting analytics during text conversion.
10. Yandex SpeechKit — Cloud Solution from Yandex
Yandex processes video through cloud API for text conversion. 95-97% accuracy in Russian for video conversion. The system requires a developer for integration but can be deployed on-premise for video to text conversion for maximum confidentiality.
Key Features:
95-97% accuracy for Russian in video to text conversion
Support for 15+ languages for video conversion
API for integration in video to text conversion
Strengths:
Best accuracy for Russian in video to text conversion
Can be deployed on-premise for video conversion for maximum confidentiality
Weaknesses:
It's an API for developers, requires technical preparation for video to text conversion
No ready interface for video to text conversion
Prices calculated by individual quotes for video conversion
Requires setup and integration when using for video to text conversion
Yandex SpeechKit is suitable for large companies and developers for video to text conversion.
Comparison Table of Video to Text Services
Before choosing a video to text service, it's important to understand which characteristics are critical for your task. If you need maximum accuracy in Russian, choose mymeet.ai, Teamlogs, or Yandex SpeechKit. If processing speed matters for video to text conversion — Teamlogs. If you need video content analytics — only mymeet.ai. The table below shows how services differ for video to text conversion.
Service | Russian Accuracy | Speed | Main Feature |
mymeet.ai | 96-98% | 5 min per 1 hour | Analysis + media player + subtitles |
Descript | 85-90% | 3-5 minutes | Video editing through text |
Google Speech-to-Text | 88-92% | 5-10 minutes | Scalability + 120+ languages |
Otter.ai | 80-85% | Real-time | Fast video processing |
Rev | 99% (manual) | 5-60 minutes | Manual quality review |
Sonix | 90-92% | 5-15 minutes | Batch processing + translation |
Speech2text | 94-96% | 10 minutes | Direct YouTube links |
Teamlogs | 95-97% | 3-5 minutes | Fast video processing |
Fireflies.ai | 90-92% | 4-6 minutes | Video analytics during conversion |
Yandex SpeechKit | 95-97% | 2-4 minutes | On-premise for confidentiality |
After analyzing the table, it's clear: for the Russian market, local solutions (mymeet.ai, Teamlogs, Yandex SpeechKit) deliver the best results. They show 95-98% accuracy for video to text conversion in Russian. For English content, Google Speech-to-Text, Otter.ai, and Rev work well. Each video to text service is optimal for its tasks — it's important to choose for your specific situation.
Where Video to Text Conversion Is Used
YouTube channels and video bloggers use video to text conversion for SEO. Text from video becomes the basis for a blog article. This improves video search and increases time on site during video to text conversion.
Podcasts use video/audio to text conversion for content creation. Text from a podcast can become an article, newsletter, or social content during video to text conversion.
Web conferences — companies record meetings and convert video to text for archives. Employees can then search information by text instead of rewatching video.
Education — universities convert lecture videos to text. Students get transcripts, can study material in a convenient format, and search for needed sections during video to text conversion.
Content marketing — agencies convert video to text to create articles, posts, and descriptions. This saves time on content creation during video to text conversion.
How to Choose a Video to Text Service
For YouTube and video blogs. Choose mymeet.ai (with content analysis) or Speech2text (with direct YouTube link upload). Both create subtitles and text simultaneously during video to text conversion.
For podcasts. Descript (if video processing is needed) or Speech2text (if just audio to text conversion). Both work well for media content conversion.
For corporate meetings. mymeet.ai with automatic task and decision extraction during video meeting-to-text conversion. This saves viewing time.
For large video volumes. Sonix (for batch processing during conversion) or Teamlogs (for fast video to text conversion).
For maximum quality. Rev (manual review during video to text conversion) or mymeet.ai (automatic 96-98% quality).
Final Conclusion
Video to text conversion has evolved from a niche tool to a business necessity. Video contains content, but people search for text. Video to text conversion solves this problem.
For the Russian market, it's better to choose services that work well with Russian video: mymeet.ai, Speech2text, Teamlogs, Yandex SpeechKit. They show 94-98% accuracy for video to text conversion in Russian. mymeet.ai stands out by analyzing video content, extracting tasks, and integrating with video conferencing platforms.
Start with a free trial period. Upload your video, check text conversion quality, test interface convenience. The right video to text service will save hours on content creation.
10 Questions About Video to Text Conversion
1. Which service best converts video to text in Russian?
mymeet.ai shows 96-98% accuracy for video to text conversion in Russian. Teamlogs and Speech2text are also good — 95-97% during conversion. Yandex SpeechKit achieves 95-97% accuracy for video to text conversion. For maximum quality, choose these three for video conversion.
2. How fast does video to text conversion happen?
Teamlogs processes an hour of video in 3-5 minutes for text conversion. mymeet.ai processes in 5 minutes for video conversion. Other services — 5-15 minutes for video to text conversion. Speed depends on video quality and server load during conversion.
3. Which video to text conversion to choose for YouTube?
Speech2text allows uploading YouTube links directly for video to text conversion. mymeet.ai creates subtitles and analyzes content during video conversion. Both are good for YouTube content in video to text conversion.
4. Can you convert video to text and create subtitles simultaneously?
Yes. mymeet.ai, Speech2text, Descript, and Rev create SRT files (subtitles) during video to text conversion. Can be used immediately in video editors during video to text conversion.
5. Which video to text conversion to choose for confidential information?
Use Yandex SpeechKit (on-premise on your servers) or local solutions for video to text conversion. Cloud services send data to their servers during video conversion, which can be a problem for banks and government agencies.
6. What video formats do services support for text conversion?
Most services support MP4, MKV, AVI, MOV, FLV, WMV for video to text conversion. mymeet.ai supports all popular formats for video conversion. Check documentation before uploading for video to text conversion.
7. Can neural networks separate speakers during video to text conversion?
Yes. mymeet.ai, Google Speech-to-Text, Otter.ai, and Fireflies distinguish speakers well during video to text conversion. In meetings with 5-6 participants, accuracy remains high for video to text conversion.
8. Which video to text conversion to choose for large volumes?
Sonix and Teamlogs handle batch processing well for video to text conversion. Sonix allows uploading hundreds of videos simultaneously for video to text conversion. Teamlogs processes quickly for video to text conversion.
9. Can a service analyze video content during text conversion?
mymeet.ai and Fireflies.ai analyze content during video to text conversion. They extract key moments, decisions, and agreements during video conversion. Other services simply convert speech to words for video to text conversion.
10. Which video to text conversion to choose for editing after processing?
mymeet.ai has a built-in editor with video playback for text conversion. Descript allows editing video through text during conversion. Teamlogs has a convenient editor for video to text conversion. Both are convenient for working with video to text conversion after automatic processing.
Fedor Zhilkin
Jan 28, 2026
