Automatic Transcription

Upload your audio and video content and let LiGRE transcribe it instantly for you

Supported Languages

Language is not a limitation with LiGRE

LiGRE is equipped with a voice recognition system that can automatically transcribe more than 30 languages. Here are all the languages that we can automatically transcribe: 

Arabic, Basque, Bengali, Bulgarian, Catalan, Croatian, Czech, Danish, Dutch, English, Filipino, Finnish, French, Galician, German, Gujarat, Hebrew, Hindi, Hungarian, Icelandic, Indonesian, Italian, Kannada, Khmer, Lao, Lithuanian, Malay, Malayalam, Marathi, Nepali, Norwegian, Persian, Polish, Portuguese, Romanian, Russian, Serbian, Sinhala, Slovak, Slovenian, Spanish, Swedish, Tamil, Thai, Turkish, Ukrainian, Urdu and Vietnamese.

Get Started in an Instant
Get Started in an Instant

Get Started in an Instant

No need to familiarize the application with your locution and idioms

LiGRE’s voice recognition system can transcribe the voice of multiple interlocutors without any prior voice familiarization, which means that the application does not need to learn to recognize the sound of your voice to understand you.

Perfectly Integrated

All your audio and video files transcribed and ready to be codified in minutes

The automatic transcription feature is embedded into the LiGRE’s codification tool, which means that, once your data has been transcribed, you can immediately start to codify it. Furthermore, playback and transcript edition tools are available directly in the codification interface to save time.

Perfectly Integrated
Get Better Results

Get Better Results

Improve the sound of your recording and get breathtaking results

LiGRE uses a state-of-the-art voice recognition system whose results can be easily improved by using a microphone to record your interviews. You can find several models online that are specifically designed for smartphones. Aside from being handy, these microphones save you the cost of a recorder and can yield great results at an affordable price.

Get started immediately! 

LiGRE is a free cloud-based application that not only specializes in the analysis of qualitative data but can also automatically transcribe audio and video files!

FAQs

Can’t find what you’re looking for? Ask for direct assistance!

You can contact our support team at any time to get direct help from one of our advisors. You can also check online, on our Wiki, to find quick answers to your questions.

How does the automatic transcription tool work?

After adding an audio and video file to your project, you will be directed to the automatic transcription page. From there, you will be asked to set a few parameters. Nothing more is asked from you once you have submitted your file.  You will receive an email notification upon completion.

Do I have to manipulate my audio and video files to get better results?

No. This service has been designed to handle light ambient noise. Do not try to artificially improve the sound quality of your audio and video data (e.g. noise reduction) before importing it. This type of operation tends to significantly reduce the accuracy of the recognition system.

How can I improve the quality of my transcripts?

The best way to improve the quality of your recordings is to use a microphone. Please note that for optimal results, all participants (interviewer and interviewee) should be equipped with a microphone. In such case, LiGRE can render up to 90-98% of the content.

What type of microphone should I use for my audio recordings?

We strongly recommend that you use unidirectional microphones during your interviews. The ‘pick up’ model is probably the most convenient when conducting an interview.

LiGRE's Project Formula

LiGRE's Project Formula facilitates teamwork and allows you to assign tasks to your associate, process large volumes of data and enjoy tools and features tailored to your needs.

LiGRE's Laboratory

LiGRE's Laboratory is built to help teachers and students conduct analyses with qualitative data. It is an intuitive and user-friendly tool specifically designed for teaching and learning in a classroom.

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