Hebrew Speech-to-Text Converter with 90%+ Accuracy

Transcribe 1 Hour of Audio or Video in just 2–3 Minutes.
Try our Hebrew Transcription Software for Free - Transcribe, Translate, Summarize, AI Assistant, and more.

Select or drag-and-drop files from your device

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Rated 4.9/5 by our users

Trusted by hundreds of fast-growing companies

Step by Step

Guide To Generate Subtitles In Multiple Languages

Step 1

Upload your Hebrew audio or video recordings. From your computer, using drag-and-drop or via public links: Google Drive, YouTube video, Facebook, or Instagram.

Step 2

Transcribe Hebrew audio or video.
Optional: You can then instantly translate the transcript into any of our 30 supported languages.

Step 3

Adjust and Download
Edit transcripts and export as SRT, TXT, or copy directly to Google Docs or Word.

Features

Key Features of Our Hebrew Speech to Text Software:

High Accuracy

Our cutting-edge AI understands your Hebrew audio with 90%+ accuracy, for both real-time and pre-recorded files, delivering transcripts that are truly human-like!

Upload by Link

Paste YouTube, Google Drive, Facebook, Instagram, Twitch, or direct links for 90%+ accurate and fast transcripts.  Edit, download, and get on with your day.

Intuitive Online Editor

Easily review and refine your Hebrew transcripts directly within our platform. Jump to specific points in your audio/video with linked text for seamless verification.

Global Reach

Transcribe to Hebrew and generate subtitles in 30+ languages, breaking down communication barriers and expanding your content's impact.

High-Volume Efficiency

Process hours of Hebrew audio and video content in minutes, not days. Our robust speech-to-text API tackles large projects with ease.

Cost-Effective Transformation

Lower your transcription costs without sacrificing quality. Vatis Tech delivers an affordable solution for projects of any size. Check our pricing page for more information.

Benefits

Why Choose Our Hebrew Speech-to-Text Conversion Technology

Accelerate Productivity with Speech-to-Text

Convert Hebrew audio to text in minutes, saving hours compared to manual typing. Vatis Tech's speech-to-text solution streamlines your workflow, freeing up time for strategic tasks.

Enhance Content Accessibility & SEO

Make your Hebrew audio content accessible with accurate transcripts. Convert Hebrew videos, podcasts, and more into searchable, shareable text, optimized for social media platforms. Boost inclusion and improve your website's search engine ranking.

Expand Your Audience with Transcripts

Reach a wider audience, including those with hearing impairments and those who prefer reading. Hebrew transcription from Vatis Tech boosts accessibility and makes your content discoverable through search engines.

Speech-to-Text and Beyond: Transform Your Hebrew Audio & Video Content

Vatis Tech's powerful suite of tools unlocks the full potential of your Hebrew spoken content.

  • Effortless Transcription: Convert Hebrew audio and video to text with exceptional accuracy and speed.
  • Global Communication: Translate your Hebrew transcripts into multiple languages, expanding your content's reach.
  • Intelligent Insights: Get quick summaries to pinpoint key information within your audio and video files.
  • Easy Collaboration: Seamlessly edit, share, and collaborate on transcripts within our intuitive platform.
  • Flexible Export: Download in various formats (Word, PDF, SRT, etc.) for effortless integration with your workflows.

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Frequently Asked Questions

Can’t find the answer you're looking for? Reach out to our Support team.

How can I convert Hebrew speech-to-text?

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Our AI-powered voice typing software converts Hebrew speech to text in just 2–3 minutes per hour of audio - far faster than manual transcription, which can take up to 4 hours. Upload your audio or video file, and we’ll transcribe it in Hebrew. Real-time transcription is also available.

What formats will my transcript be in?

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You'll receive your transcript in a convenient, editable format within our online editor.  Download it in popular formats like .txt, .docx (Word), .pdf, or SRT/VTT for subtitles.

How accurate is Vatis Tech's speech recognition technology?

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Our transcription services achieve around 90% accuracy, similar to a human transcriber. Improve your Hebrew transcripts even further by editing for perfect results within our platform, and reach 100% accuracy rate.

Is there a free Hebrew speech-to-text?

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Yes! Get started with 60 minutes of free transcription to try our accurate and user-friendly software. Take advantage of our technology by starting your free trial today

Can I identify different speakers in my Hebrew audio transcript?

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Absolutely! Vatis Tech's speaker identification feature automatically labels different speakers, so you'll always know who said what in your transcribed videos or audio.

Does Vatis Tech provide timestamps for my transcript?

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Yes, our speech to text tools provide timestamps with your Hebrew transcript. This helps you pinpoint specific moments in the original audio or video file.

How do I search and edit within my transcripts?

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Press Control + F(or Command + F on Mac) to search for specific keywords or phrases in your Hebrew transcript. To edit, highlight the desired text directly in the editor and start typing your changes. This makes finding and refining important information quick and easy.

Can I use Vatis Tech to create subtitles for my Hebrew videos?

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Definitely! Upload your Hebrew audio or video files, select Hebrew for transcription and convert them into accurate text. Translate the auto-generated transcripts into multiple languages to reach a wider audience and generate subtitles.

How can I maximize the accuracy of my transcripts?

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For optimal results, follow these tips: record in a quiet environment, use high-quality microphones, speak clearly and maintain a consistent pace, and avoid overlapping speakers and background noise.

How does Vatis Tech protect my audio files?

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Your privacy is our priority. We employ top-tier encryption and security measures to safeguard your data.

Experience the Future of Speech Recognition Today

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