chela
AI Audio CRM

Plan dissertation interview transcription

Qualitative research requires interviewing dozens of subjects, resulting in hundreds of hours of audio. Manually typing transcripts is a crushing bottleneck for Ph.D. students trying to finish their dissertation. CHELA after processing processes massive audio datasets, providing incredibly accurate, speaker-separated transcripts that import perfectly into your qualitative coding software.

Turn Talk into Tasks
Neural Core Online

Stop losing brilliant ideas.

A useful record keeps the details you want to return to: names, decisions, questions and next steps. Chela can process a voice note into organised information that you can review and search. State what matters in the recording, then check the resulting note before using it elsewhere.

Research & Study Logs

Lit Review: Chapter 2
2 hours ago

Synthesize origins of behavioral econ...

Participant Interview 04
Found Match

"The subject described a feeling of cognitive dissonance when asked about..."

Lab Results Audio Log
Yesterday

Illustrative research note: compare this observation with the source interview.

Instant Recall

Total Recall for Your Work Life.

  • 1

    "What did the client say about the budget?"

    Search for "client name" or "budget" three weeks later and find the exact audio clip.

  • 2

    Turn rambling into reports.

    Chela structures your unstructured thoughts into clear, readable notes and action items.

Frequently Asked Questions

Is there a discount for Ph.D. researchers?

Yes. We offer significant academic discounts for university researchers and graduate students holding a valid `.edu` or `.ac.uk` email address to help manage limited grant funding.

Does it meet university IRB (Ethics Board) standards?

Use research audio only in a tool approved for your project’s consent and data-handling requirements. Read the privacy policy and confirm the applicable terms with your institution. This article does not advertise an enterprise DPA or clinical research service.

Can it handle subjects speaking over the interviewer?

Yes. Qualitative interviews are naturally conversational. CHELA's advanced speaker identification algorithms cleanly untangle overlapping dialogue, maintaining the true flow of the conversation.

How does it handle highly specific academic terms?

Our transcription engine is robust enough to accurately parse complex terminology across disciplines—from nuanced sociological theories to specific biochemical nomenclature.

Work smarter, not harder.

Transform your voice into your most powerful productivity tool.

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What to check before relying on it

Chela does not establish automatic corpus processing, academic pricing or compatibility with your ethics protocol. Participant data should stay within the approved collection and processing route.

Choose how you want to use Chela

Free accounts include manual task creation and metric tracking. Voice notes require a paid plan. See the app for current subscription limits and regional prices.

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