Screeba is designed for students and academic workflows: upload a recorded lecture, process it with AI transcription, and export a structured Word document you can print, highlight, and revise.
Turn every recording into an effective study method. Not just transcription, but a smooth flow that converts your lesson audio into ready-to-use notes so you can transcribe automatically and export straight to Word.
Drag and drop your audio file
or click to browse (MP3, WAV, M4A)
Audio quality directly impacts output quality. Files with heavy noise or overlapping speakers may require manual revision.
Screeba is built as a practical flow: upload class audio, enrich context, process transcription, and receive an organized DOCX output.
Import lecture recordings in common formats and add context such as subject or course to improve lexical coherence in the output.
Screeba processes the recording with transcription models and formatting logic so text is readable for studying, not just raw speech capture.
Download a DOCX file that is ready for printing, annotation, and revision workflows without post-editing from scratch.
Who this is for
Screeba speaks the language of real Italian search intent around sbobinare and lecture transcription, not only generic meeting transcription use cases.
Turn recorded classes into structured notes quickly, reduce manual typing effort, and spend more time on understanding and memorization.
Useful for tutoring programs, support teams, and educational contexts where lecture material needs to become readable documents fast.
Also useful for training sessions and technical briefings when audio must become text and Word documentation in a repeatable process.
Audio quality matters
Like all transcription systems, Screeba performs best on clean source audio. Setting expectations clearly improves trust, outcomes, and conversion quality.
Use recordings with limited background noise and stable speaker distance.
Add lesson context or subject hints to improve term recognition.
Review low-confidence passages before final study export.
Output focus
Get far more than basic audio-to-text conversion: Screeba delivers a clean document already structured for review and annotation, turning your recordings into the perfect foundation for deep study.
Word output preview
FAQ
Everything you need to know about transcript quality: from supported file formats to Word export options and how to optimize lecture transcription.
Yes. The product is designed specifically for lecture-style recordings and study workflows where users need text they can actually review and reuse.
Yes. Screeba outputs DOCX documents so notes can be printed, highlighted, and integrated into common academic workflows.
Common lecture-friendly formats such as MP3, WAV, and M4A are supported in the upload flow.
Transcription accuracy depends on source clarity. Overlapping voices, reverberation, and low-quality capture can reduce precision, so clean recording practices improve output quality.
Your security is our priority. We handle your files with full transparency: each upload is protected, processing data is retained only for the strictly necessary time, and access to results is restricted exclusively to you through advanced controls.
DevOP case study
An AI product that turns lecture recordings into structured Word notes ready for study.
DevOP role
Product-flow definition, transcription orchestration, text cleaning and structuring, UX, and document generation.
Reduce manual transcription work without handing students a raw transcript that is difficult to use.
The pattern can automate minutes, interviews, operational notes, and other audio-to-document workflows with controlled formats.