CorpusSpark Multimodal Transcription & Annotation Platform

CorpusSpark is a multimodal transcription and annotation platform built on AI technology, currently focused on reducing the cost and time of corpus processing. Researchers can upload recorded audio and video materials from mobile devices, and the platform combines speaker recognition with automatic transcription to complete the first round of corpus organization.

The platform supports synchronized viewing of transcript text, audio/video, and aligned timelines. After manual review and annotation, the results can be exported in formats compatible with the TALKBANK clan workflow for subsequent analysis, archiving, and research use.

CorpusSpark currently supports iPhone, iPad, and Mac with Apple silicon. It is designed to be easy to use for both experienced researchers and first-time users. More feature details and updates are available through the CorpusSpark official account.

Its machine transcription capability can quickly handle labor-intensive preprocessing tasks such as content transcription, speaker labeling, and timeline alignment. Researchers can then continue with review, label enrichment, and more detailed transcription work aligned with their research goals.

CorpusSpark starts from the needs of linguistics research while balancing efficiency, accuracy, accessibility, and cost. It is also intended to support high-quality corpus co-creation, research data verification, and downstream applications.