Search Spoken Words Across Audio Archives in Seconds
Stop scrubbing through hours of audio timelines looking for that one quote. Search your recordings in natural language, ask cross-interview questions, and jump directly to the exact spoken second.
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Cross-Interview Query: 'What did informants say about transport tariffs?'
Amharic & English • Multi-Interview Corpus • 02:15
ተሳታፊዎች የትራንስፖርት ታሪፍ መጨመር በገጠር ገበያዎች ላይ ከፍተኛ ተፅዕኖ እንዳሳደረ ገልጸዋል። (3 interviews cited)
“Informants stated that the increase in transport tariffs has exerted significant pressure on rural markets. (3 interviews cited)”
የትራንስፖርት ታሪፉ በእጥፍ በመጨመሩ ምክንያት እቃዎችን ወደ ከተማ ወስዶ መሸጥ አዳጋች ሆኖብናል።
“Because transport tariffs doubled, taking goods to town for sale has become extremely difficult for us.”
Why Audio Search Beats Keyword Text Search
Keyword search misses synonyms, paraphrasing, and cross-lingual meaning. Andebet searches the conceptual layer of your spoken audio.
Cross-Lingual Semantic Retrieval
Search in English for topics discussed in Amharic, Afaan Oromo, or Tigrinya. Our embedding space maps conceptual meaning across languages.
Click-to-Play Audio Evidence
Every search result and synthesized answer includes an interactive audio chip. Click it to listen to the exact participant's voice at that second.
Cross-Recording Synthesis
Ask complex synthesis questions like 'How do opinions in Dire Dawa differ from Hawassa?' and get structured comparisons with audio citations.
Millisecond Deep Linking
Share exact audio timestamp links with colleagues, editors, or research collaborators so they jump straight to the relevant soundbite.
How Semantic Audio Search Works
From raw recordings to searchable, interactive audio intelligence in minutes.
Upload Audio Collection
Drop your entire archive of interview recordings, focus group tapes, or podcast episodes into a project workspace.
Supports batch uploads up to 2GB each
Automatic Indexing & Embeddings
Andebet transcribes each file with millisecond timestamps and indexes the semantic content into a high-dimensional vector corpus.
Indexed in parallel on GPU clusters
Search in Natural Language
Type questions or topics in plain language in English, Amharic, or Oromo: 'What were the main complaints regarding water tariffs?'
Natural language query interface
Listen to Verified Clips
Review synthesized answers with clickable citation badges that immediately play the authentic voice recording.
Instant audio verification
Who Uses Andebet Audio Search?
Trusted by researchers, journalists, content creators, and enterprise teams.
Qualitative Researchers
Anthropologists, sociologists, market research analystsFind patterns and synthesize themes across dozens of in-depth field interviews without re-reading 500 pages of transcripts.
Investigative Journalists
Newsrooms, documentary filmmakers, podcastersLocate exact soundbites and quotes from hundreds of hours of recorded source material for stories and audio documentaries.
Humanitarian & NGO Evaluators
Program directors, field coordinators, monitoring teamsAnswer donor and stakeholder evaluation questions directly from community feedback recordings.
Customer Experience Teams
Call centers, product managers, support leadsSearch thousands of recorded customer calls to identify emerging complaints, feature requests, and churn drivers.
Frequently Asked Questions: Semantic Audio Search
Search capabilities, cross-lingual queries, and security.
Yes! Our multilingual semantic search engine maps concepts across languages. If you search 'inflation concerns', the system will retrieve Amharic segments discussing የዋጋ ንረት and Oromo segments discussing gatii mi'aahuu.
Every claim made by the system is backed by an explicit, clickable audio citation linking directly to the exact start and end millisecond where the participant spoke. If a claim cannot be verified in the audio, the system does not make it.
Our project workspaces scale from single interviews to archives containing hundreds of hours of audio recordings, returning search results in under 500 milliseconds.
All recordings and vector indices are strictly private to your workspace, encrypted at rest with AES-256 and in transit with TLS 1.3, and never shared or used to train public foundation models.
Related Audio Intelligence Features
Corpus Analysis & Thematic Synthesis
Interactive AI chat with your entire audio recording collection.
SolutionResearch Interview Analysis
Analyze qualitative research interviews with grounded citations.
PlatformAudio Intelligence Platform
The complete overview of our Horn of Africa audio intelligence stack.
APIDeveloper API Reference
Programmatic search and semantic retrieval endpoints for your apps.
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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