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thematicanalysis.ai
AI-powered thematic analysis for qualitative research
thematicanalysis.ai is an easy to use AI tool that helps students and researchers analyse to autocode and generate themes from thier qualitative data. You can upload interviews, transcripts or research papers, the engine then generate codes and themes, which are traceable to thier sources. You can then export the result and the codebook.
The idea for this product started during my own Master's degree.
Analysing several studies or transcripts during my literature review was one of the most time-consuming tasks I had to perform. Reading through studies multiple times, highlighting sections, generating codes, identifying patterns and developing themes took a lot of time. While this process was valuable, it was also slow and mentally exhausting.
As AI became more capable, I decided to explore a question:
Could AI help researchers move through qualitative data faster while still keeping them connected to the evidence behind the analysis?
It is a simple tool that allows researchers to upload their sources, which could be interview transcripts or research papers. AI then auto-codes each source and generates themes, which the researcher can trace back to the original sources, manually edit, and then export their results.
Existing tools such as NVivo are powerful, but they can be expensive, have largely manual workflows, and come with a steep learning curve. The goal of thematicanalysis.ai is to reduce some of the heavy, repetitive work, so researchers can spend more time thinking, interpreting and making sense of their findings.
It is free for up to 3 sources. The full project option is there when you need to analyse more studies.
This is still early, and I’m launching on Product Hunt because I want honest feedback from people who actually understand this problem.
If you've done qualitative research, I'd love to know:
What part of thematic analysis do you find most difficult or time-consuming?
What would you suggest we improve about the product?
“AI-powered thematic analysis for qualitative research”
thematicanalysis.ai was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #143 on the daily leaderboard. thematicanalysis.ai is an easy to use AI tool that helps students and researchers analyse to autocode and generate themes from thier qualitative data. You can upload interviews, transcripts or research papers, the engine then generate codes and themes, which are traceable to thier sources. You can then export the result and the codebook.
On the analytics side, thematicanalysis.ai competes within Productivity, Education and Artificial Intelligence — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how thematicanalysis.ai performed against the three products that launched closest to it on the same day.
Who hunted thematicanalysis.ai?
thematicanalysis.ai was hunted by Olajide. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of thematicanalysis.ai including community comment highlights and product details, visit the product overview.
Olajide
Hey Product Hunt! 👋
I’m the maker of thematicanalysis.ai.
The idea for this product started during my own Master's degree.
Analysing several studies or transcripts during my literature review was one of the most time-consuming tasks I had to perform. Reading through studies multiple times, highlighting sections, generating codes, identifying patterns and developing themes took a lot of time. While this process was valuable, it was also slow and mentally exhausting.
As AI became more capable, I decided to explore a question:
Could AI help researchers move through qualitative data faster while still keeping them connected to the evidence behind the analysis?
That question became thematicanalysis.ai.
It is a simple tool that allows researchers to upload their sources, which could be interview transcripts or research papers. AI then auto-codes each source and generates themes, which the researcher can trace back to the original sources, manually edit, and then export their results.
Existing tools such as NVivo are powerful, but they can be expensive, have largely manual workflows, and come with a steep learning curve. The goal of thematicanalysis.ai is to reduce some of the heavy, repetitive work, so researchers can spend more time thinking, interpreting and making sense of their findings.
It is free for up to 3 sources. The full project option is there when you need to analyse more studies.
This is still early, and I’m launching on Product Hunt because I want honest feedback from people who actually understand this problem.
If you've done qualitative research, I'd love to know:
What part of thematic analysis do you find most difficult or time-consuming?
What would you suggest we improve about the product?
Thanks for checking out thematicanalysis.ai! 🙌