It removes the manual effort of locating, transcribing, and aggregating relevant segments from thousands of hours of podcast and video content, giving analysts a searchable, up‑to‑date source of public conversation data.
Arcmira is a web service that continuously crawls public podcasts and long‑form video, extracts transcripts, and stores them in a searchable index. Users can query the index with natural language prompts, and the system returns matching videos, channel counts, and highlighted moments. The platform lets a user create monitors that track a set of keywords or speakers; new appearances trigger email digests and optional tagging of participants as "smart people". It also assembles selected excerpts into research briefs, which can be exported as PDFs or shared on social platforms. The workflow is: AI sends a query → Arcmira searches the indexed corpus → results include video IDs, timestamps, and extracted excerpts → user can refine, save moments, or set up automated monitoring. All interactions occur through a web UI, with an API endpoint for programmatic access.
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Arcmira
Arcmira turns hours of spoken content into structured, searchable data for people and AI agents. Website: https://arcmira.com
@arcmiraAI
