Find quick, clear answers to common questions about Ethiopian audio transcription, language accuracy, speaker diarization, developer API integrations, and cultural calendar tools.
Accuracy rates, dialect handling, noisy audio, and Ge'ez fidel orthographic normalization.
Andebet is purpose-built for Ethiopian acoustics, trained directly on native voice data rather than generic multilingual web scrapes. On clean broadcast and conversational audio, it delivers verbatim Ge'ez fidel output; on challenging field recordings, telephone audio, and noisy environments, our neural acoustic filters isolate speaker voices and canonicalize homophones.
Yes. In modern Ethiopian conversations, speakers frequently switch between Amharic and English or Afaan Oromo and English. Andebet's acoustic and language models are trained specifically on multilingual conversational audio, accurately transcribing code-switched phrases with correct script and Latin characters.
Ethiopian languages written in the Ge'ez script feature multiple characters that share identical or near-identical phonetic sounds. Andebet applies an orthographic normalization engine that standardizes spelling conventions while preserving historical spelling choices in specialized church or legal documents.
Andebet supports all standard audio and video formats including MP3, WAV, M4A, AAC, FLAC, OGG, WebM, MP4, and MOV files up to 2GB per upload.
Yes! We offer natural, expressive Amharic neural voice synthesis with adjustable speed, pitch, and emotional cadence. You can test voices directly on our Amharic Text to Speech tool page.
Who said what, speaker turn detection, timestamped citations, and conversational search.
Speaker diarization is the automated process of answering 'who spoke when.' Andebet segments audio by speaker turns, assigning distinct labels (e.g., Speaker 1, Speaker 2) or custom names to every spoken paragraph with millisecond-accurate timestamps.
Our multi-speaker diarization pipeline reliably distinguishes up to 10 distinct speakers in qualitative focus groups, boardroom meetings, and panel discussions.
Yes. Through our Corpus Analysis and Data Studio features, you can perform semantic full-text searches, filter by speaker, query topics, and jump directly to the exact audio timestamp with a single click.
REST API, Model Context Protocol (MCP) server, webhooks, and client SDKs.
Yes. Our Developer REST API supports asynchronous and streaming audio transcription, speaker diarization, and batch file processing. Official client libraries and curl examples are documented in our Developer Documentation.
Our native MCP server enables AI assistants (such as Claude Desktop, Cursor, and custom agentic workflows) to directly transcribe, index, and query your Ethiopian audio libraries using standard MCP tool calls.
When submitting large audio files, you can supply a webhook URL. Once processing, diarization, and punctuation are complete, Andebet sends an authenticated HTTP POST payload containing the full transcript and timestamp data.
Gregorian-to-Ethiopian date conversion, fasting calendars, 12-hour Ethiopian clock, and holidays.
We offer a suite of free Ethiopian digital utilities including an Ethiopian Calendar Converter (Gregorian to Ethiopian dates), an Ethiopian Time Converter (12-hour Addis Ababa clock), an Ethiopian Age Calculator, an Orthodox Fasting & Bahire Hasab Computus tool, and comprehensive Ethiopian Holiday directories from 2025 to 2035.
In Ethiopia, the daily 12-hour cycle begins at dawn (6:00 AM Gregorian = 12:00 Ken in Ethiopian time) rather than midnight. Our Ethiopian Time Converter automatically converts between international UTC/Gregorian clock times and local Ethiopian daylight and nighttime cycles.
Yes. All Orthodox Christian movable feasts (such as Fasika, Siklet, and Abiy Tsom) are computed according to the classical Alexandrian / Ge'ez Bahire Hasab lunar-solar algorithm, while national public holidays adhere to official Ethiopian state proclamations.
Data retention, customer audio sovereignty, encryption, and enterprise compliance.
No. Customer audio uploaded to Andebet is strictly processed to execute transcription and analysis requests. Your voice data is never used to train our public models without explicit contractual authorization.
All audio files and generated text are encrypted at rest using AES-256 and in transit using TLS 1.3. We implement strict tenant isolation and role-based access control across all database clusters.
Yes. You can delete individual audio recordings or entire project workspaces at any time through the web interface or via the Developer REST API (DELETE /v1/transcriptions/:id). Deletion permanently purges files from active storage.
Free tiers, per-minute billing, volume discounts, and payment methods in USD & ETB.
Yes! Every new account includes 45 free minutes of audio transcription to test model accuracy on your recordings with zero credit card required.
Yes. We support local Ethiopian payment methods including Telebirr and CBE Birr, as well as international credit cards (Visa, Mastercard) and annual invoiced enterprise billing.
On Pay-as-You-Go and Pro plans, additional audio is simply billed at our transparent per-minute rate with zero account disruption. You can set spend limits in your account settings.
Start with 45 free minutes. Upload Amharic, Afaan Oromo, or Tigrinya audio and receive timestamped speaker transcripts in seconds.
Learn how to integrate audio intelligence into your applications with our REST API, streaming endpoints, and Model Context Protocol (MCP) server.
Our engineering team is available for custom vocabulary tuning, on-premise deployments, and volume research partnerships.
Join researchers, media teams, and enterprise developers building with Andebet's specialized Horn of Africa language models.