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Themes you can trace back to the person who said them.

Paste or upload an interview transcript. Bearly builds an evidence-linked thematic analysis without flattening disagreement into tidy consensus.

Use the tool

Paste the transcript or upload it

Speaker labels and timestamps improve the evidence trail. Add the research question so the analysis serves a decision rather than producing generic themes.

Paste one interview with speaker labels and timestamps when available.

Alternatively upload a TXT, DOCX, PDF, Markdown, CSV, or spreadsheet transcript.

Optional: name the decision, audience, hypothesis, or prior codebook guiding the analysis.

Your input stays in this browser through sign-in and expires after two hours. Bearly imports it into a private chat and starts the work automatically.

What it actually does

Useful before impressive.

A useful qualitative analysis is not a list of plausible topics. It shows how an interpretation arises from the transcript, where participants disagree, and which conclusion is weak or surprising.

Bearly keeps the codebook, quotations, and analysis together. Add more interviews, revise a code, compare segments, or turn a supported finding into a research readout without severing it from the evidence.

Worked example

The shape of a good result.

Every result follows the material you provide. This example shows the level of specificity Bearly is aiming for.

Research question + transcript

Why do finance teams abandon first-month reconciliation? Challenge the setup-time hypothesis and preserve evidence that points to trust or permissions instead.

Traceable thematic analysis

Theme

Reviewers distrust imported balances when the source trail disappears after editing (5 supporting passages).

Evidence

“Once I correct it, I can't show my controller where the original number came from.” — Participant, 00:18:42

Negative case

One participant accepted opaque imports because a weekly manual audit already existed.

Follow-up

Test whether persistent source references change willingness to approve an adjusted row.

How it works

Three moves. One conversation.

  1. 01

    Supply the transcript

    Speaker labels and timestamps make each finding auditable.

  2. 02

    Code without erasing dissent

    Bearly maps themes, evidence, contradictions, and negative cases.

  3. 03

    Continue the study

    Add interviews, compare segments, or prepare a sourced readout.

Keep going

The result is not a dead end.

  • Analyze several interviews against one evolving codebook.
  • Compare themes by participant segment.
  • Turn supported findings into a research readout or opportunity map.

Worth knowing

No magic tricks.

  • Remove unnecessary personal or sensitive information before analysis.
  • AI-assisted coding does not replace researcher interpretation or consent obligations.
  • Quotations and speaker references should be checked against the source.

Other ways in

More tools, same workspace.

Browse all tools

Audio to text

Turn audio or video into a readable transcript, then keep going: identify speakers, pull decisions, assign action items, find quotes, and ask questions of the conversation.

Open tool

Video summarizer

Upload a meeting, lecture, interview, webinar, or recording. Bearly turns it into a transcript-backed summary you can question, quote, and keep using.

Open tool

Research paper summarizer

Bearly separates what the authors asked, what they did, what they found, what they claim, and what the design actually supports.

Open tool

Ready when you are

Themes you can trace back to the person who said them.

Start the focused job now. The rest of Bearly will be there when the job becomes something larger.

Add your material