Transcripttuki

Transcripttuki is a modular, open-source software framework designed to facilitate transcription, annotation, and translation of audio and video content. It emphasizes time-aligned transcripts and interoperability with existing media workflows, making it suitable for media archives, research projects, and educational materials.

Architecture and features: Transcripttuki uses a plugin-based architecture with adapters for automatic speech recognition backends and supports manual correction through a web-based editor. Transcripts are stored as time-stamped segments and can be exported in SRT, VTT, JSON, or XML formats. The system includes language tagging, speaker labeling, and confidence scoring, alongside a RESTful API for integration with content management systems. It also supports collaborative editing, audit trails, and role-based permissions.

Workflow: A typical workflow involves importing media, generating an initial transcription via an ASR backend, reviewing and correcting the transcripts, optionally adding translations, and exporting or publishing subtitled outputs for distribution or archival study. Transcripttuki can run locally or in cloud deployments and aims to be accessible for users with varying technical backgrounds.

Origin and status: Transcripttuki was developed as an open-source project to streamline transcription workflows and improve reproducibility across disciplines. Development is community-driven, with documentation, code examples, and contribution guidelines available in its repository.

Impact and limitations: The framework seeks to reduce manual labor in transcription, standardize annotations, and facilitate multilingual projects. Limitations include dependence on external ASR quality and the need for careful human review to ensure high accuracy, as well as potential challenges in scaling for very large media libraries.