Reading 50-page transcripts is slow. Andebet Data Studio turns hours of Ethiopian conversations into interactive visual artifacts — speaker ratios, thematic clusters, sentiment arcs, and entity maps.
Included free with all workspace plans · Export to SVG, PNG & CSV
When you finish an hour-long stakeholder interview or focus group, you receive thousands of words. But text alone does not tell you if one participant monopolized 70% of the time, how sentiment shifted when pricing was introduced, or which product features triggered the strongest objections.
Extracting these patterns manually requires hours of re-listening and spreadsheet coding. In Ethiopian languages, this is even harder because standard NLP tools fail to recognize Amharic entities, Oromo grammar, or mixed code-switching.
Andebet Data Studio bridges this gap. It parses speech dynamics directly from acoustic transcripts, structuring the conversation into verified visual data that you can inspect, filter, and share with stakeholders immediately.
A continuous exploratory loop that transforms raw audio recordings into decision-ready visual evidence.
Open any transcript or multi-audio project. Data Studio automatically computes speech metrics and extracts candidates for visual mapping.
Click on any speaker, topic cluster, or time window. The view dynamically refines to highlight the exact conversational slice.
Every data point links to the verbatim transcript and timestamped audio. Zero guesswork or ungrounded model hallucinations.
Download presentation-grade vector SVG charts, high-res images, or clean CSV datasets for executive slide decks and reports.
A specialized analytical suite designed to handle acoustic transcripts, multi-speaker conversations, and Ethiopian languages.
Visualize who spoke, when, and for how long. Pinpoint interruptions, monologue lengths, and participation equity across conversations.
Group recurring topics automatically. See which issues dominated the discussion and how themes connect across multiple participants.
Extract people, ministries, companies, dates, and amounts in both Ge'ez fidel and Latin transliterations with cross-language normalization.
Track emotional intensity and tone arcs across the timeline. Locate the exact moments where disagreement, skepticism, or consensus arose.
Click any chart node or bar to reveal the embedded player, immediately listening to the source quote with highlighted transcript words.
Download crisp SVG diagrams and CSV datasets with modern editorial styling matching corporate brand and research publication standards.
“Instead of presenting a 60-page PDF of transcribed interviews to our board, we showed them Data Studio's speaker maps and entity graphs. It turned abstract audio into immediate strategic clarity.”
Common questions about visualizing audio intelligence with Data Studio.
Data Studio is an interactive visual workspace inside Andebet that transforms spoken conversations and interview transcripts into structured visual artifacts, such as speaker turn-taking charts, thematic cluster maps, sentiment trajectories, and grounded entity graphs.
No. Data Studio is designed for researchers, journalists, executives, and product teams. You can ask for visual artifacts using natural language (e.g. 'Show me speaker talk time distribution' or 'Group common grievances by frequency') and the studio generates the visual representation automatically.
Yes. Every visual artifact in Data Studio can be exported as publication-ready vector SVG, high-resolution PNG, or raw aggregated CSV/JSON data for further analysis in Excel, Python, or BI dashboards.
Data Studio features complete data lineage. Every bar, node, and topic cluster is directly linked to the underlying transcript segments and audio timestamps. Clicking any datapoint immediately plays the corresponding spoken audio snippet.
Yes. Our extraction pipeline recognizes terms in Amharic, Afaan Oromo, Tigrinya, and English simultaneously, standardizing entities and mapping relationships across languages without losing dialectal context.
Yes. You can select an entire project collection or folder of recordings to generate cross-interview comparisons, aggregate speaker demographics, and identify macro trends across dozens of hours of recorded audio.
Upload your audio recordings and discover the hidden patterns, speakers, and topics inside your Ethiopian language data.