Turn Recorded Interviews into Searchable, Citable Evidence
Manual interview transcription steals 4 to 6 hours for every hour of audio. Andebet turns complex, multi-speaker interviews in Amharic, Oromo, Tigrinya, and English into verbatim, timestamped transcripts in minutes.
45 free minutes on signup · Telebirr & CBE Birr supported · Instant export to DOCX, SRT, VTT & JSON
Sociological Field Interview (Addis Ababa University)
Amharic & English Code-Switching • 02:15
Could you walk us through the main challenges you faced when migrating to digital payments? በተለይ በገጠሩ ማህበረሰብ ዘንድ ምን አይነት ተግዳሮት አለ?
“Could you walk us through the main challenges you faced when migrating to digital payments? Especially among rural communities, what kind of challenge exists?”
የኔትወርክ መቆራረጥ እና የ digital literacy ክፍተት ዋነኞቹ ችግሮች ናቸው። But once agents establish local trust, adoption rates spike significantly.
“Network interruptions and digital literacy gaps are the main issues. But once agents establish local trust, adoption rates spike significantly.”
Purpose-Built for Serious Interview Workflows
Generic voice notes software can't handle real research interviews with background noise, overlapping speech, and rapid code-switching.
Multi-Speaker Diarization
Distinguishes between interviewer and interviewee automatically. Assign custom names, colors, and roles that persist across your entire workspace.
Timestamped Citations
Every sentence has an exact millisecond timestamp. Click any word in the transcript to verify audio playback or cite verbatim evidence in papers.
Code-Switching Fidelity
African conversations frequently blend English technical terms with local languages. Andebet transcribes both scripts within the exact same paragraph.
Qualitative Software Export
Export clean, pre-formatted transcripts directly compatible with qualitative analysis tools like NVivo, MAXQDA, and ATLAS.ti.
From Audio Recording to Published Research
A streamlined pipeline designed to save hundreds of hours across your research project.
Upload Interview Audio
Upload recordings from Zoom, Teams, smartphone recorders, or field microphones. Handles mono, stereo, and mixed audio tracks.
Supports up to 2GB per file
Automated Transcription & Diarization
Our neural models transcribe the conversation, identify speaker transitions, and normalize Ge'ez or Latin orthographies.
Complete in under 3 minutes
Interactive Review & Speaker Naming
Easily label 'Speaker 1' as 'Dr. Abebe' across the entire transcript with one click. Search keywords and bookmark important quotes.
Global speaker find-and-replace
Thematic Analysis & Export
Ask questions across your interview using conversational AI, or export to Word (.docx) and CSV formatted for coding and qualitative analysis.
DOCX, TXT, CSV, JSON
Who Relies on Andebet for Interview Transcription?
Trusted by leading qualitative researchers, newsrooms, and consulting teams.
Qualitative & Social Researchers
PhD candidates, university faculty, think tanksEliminate the transcription bottleneck in doctoral dissertations and policy studies. Keep direct links to raw audio evidence for peer review.
Investigative Journalists
Reporters, podcast producers, broadcast journalistsQuickly locate critical quotes and verify exact wording against original audio before publication deadlines.
NGO Field Evaluators
Humanitarian agencies, monitoring & evaluation (M&E) teamsDocument key informant interviews (KIIs) and community discussions across rural Ethiopian woredas.
User Experience (UX) Researchers
Product designers, startup founders, design strategistsCapture user pain points from product discovery sessions and customer interviews with zero manual note-taking.
Frequently Asked Questions: Interview Transcription
Direct answers on speaker identification, timestamps, and data security.
Andebet uses deep neural acoustic embeddings to analyze voice pitch, timbre, and cadence. It clusters audio segments by speaker identity, automatically creating labels like 'Speaker 1' and 'Speaker 2' which you can rename to the participant's actual name in a single click.
Yes. Our audio pre-processing pipeline includes noise-reduction filters tuned for environmental chatter, ambient street noise, and room reverberation common in field interviews across East Africa.
Yes! With Andebet's Corpus Analysis tool, you can upload dozens of interview transcripts into a single workspace and ask conversational questions like: 'What were the main complaints regarding transport costs?' Andebet synthesizes the answer with exact timestamp citations pointing to the original audio.
Yes. All audio recordings and transcripts are encrypted with AES-256 at rest and TLS 1.3 in transit. Your research data is private to your workspace and is never used to train public foundation models.
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LanguageAmharic Audio Transcription
Native Ge'ez fidel speech recognition with built-in diarization.
Turn recorded Ethiopian conversations into searchable truth.
Join researchers, media networks, and global organizations extracting structured knowledge from Amharic, Afaan Oromo, and Tigrinya audio.
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