Transcript Analyzer

Analyze your qualitative interview transcripts, recordings, transcripts from other apps or other text data using Speak for free.

With the rise of speech-to-text software, we've seen a growing number of individuals and organizations creating transcripts of their media files. 

While turning audio to text or video to text is great, these transcripts are often underused and exist in a silo.  

Using a transcript analyzer like Speak to break these massive amounts of data into sentences, phrases, keywords and sentiment, allows you to better understand trends and topics present across all your text data - regardless of the source. 

You can sign up for Speak's transcript analysis and explore the system to analyze multiple files at once with our 7-day trial. 

Feel free to play around with our free text analysis tools in the meantime!

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How to analyze interview transcripts in qualitative research?

Interview transcripts are an important part of the qualitative research process, however, they are often costly to obtain and analyze. 

While many organizations use traditional or automated transcription services, many of these services fall short when it comes to assisting in the research process. 

That's why picking the right research transcription service is a critical step in the qualitative research process. 

Using a software like Speak allows you to transcribe, get professional cleanup, generate a searchable transcript library and uncover top-level insights from your qualitative research data.


How do you analyze qualitative interviews?

In order to make your research workflow more efficient, we recommend using a transcript analyzer like Speak to identify important topics, themes and trends that surface over the course of your interviews. 

You can then use this in conjunction with inductive and deductive analysis to carry out thematic content analysis or a narrative analysis depending on the context of the research. 

Why should I use Speak for transcript analysis?

Using an AI text analysis tool allows you to greatly increase the amount of information capture and analysis that can be done to speed up insight extraction. 

With many systems this is purely limited to parsing through text documents such as emails, customer chats, support tickets and surveys for example. 

 However, with Speak, you are able to analyze your text data across audio, video and text files with our in-built transcription and deep search.  

You can create your own custom language database

If you work with industry-specific vocabulary or are looking to identify uncommon terms or topics, it's easy to set up our system to do that for you.

You can create custom categories and populate them with the terms you want to identify, and our system will find every mention across all your media files. 

You can identify key information easily across your transcripts

Finding important information across your media files is made easy with a good text analysis tool. 

This allows researchers to use their media library as an idea safe, with the ability to resurface and repurpose previously captured information. 

You can create central, shareable & searchable transcript libraries

An uncommon but equally important use case of text analysis and NLP can be for knowledge management and recall. 

This is particularly true among organizations or individuals who parse through hundreds of hours of transcripts, interviews and other language data to find relevant information. 

With a system like Speak, you can easily find mentions of topics and keywords as well as the specific parts of different files that they appear in. 

This is all achieved through text analysis and NLP, with a bit of engineering magic to boot. 

Our customers love us

I had 10 one-hour interviews that I needed to transcribe and analyze. Speak helped with that process immensely. Wishing you all the luck. I seriously think you have a winning product here.
Karen Shulman Dupuis
Coach at Centre for Social Innovation
As a person who spends hours per day brainstorming out loud I never had the ability to make sense of all of my thoughts. Speak Ai had the ability to synthesize hours of audio into useful insights.
Justin Finkelstein
Justin Finkelstein
Citi Technology Innovation Center, Founding Member
“This is super cool. I can definitely see the value in what you have built. We look forward to continuing to work with you and accessing this powerful technology.”

Ashley Conyngham
Ashley Conyngham
Director, Marketing & Communications, LEDC

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