Telegram + OpenAI: voice notes into searchable text
Telegram voice notes turn into clean, searchable text using OpenAI, with access control, long message…
Turn scattered notes into usable knowledge. Capture meetings, emails, and ideas automatically, summarize with AI, and file everything where your team can find it fast.
A workflow captures information from places where knowledge is created—Gmail threads, Slack messages, meeting notes, forms, or files in Google Drive. Then it cleans and structures it. AI (like OpenAI) can summarize, extract action items, and add tags such as client, project, or priority. Finally, the workflow stores everything in a system of record like Notion and notifies the right people. You end up with consistent notes and a searchable knowledge base, without manual copy-paste.
Not usually. Most Flowpast workflows are plug-and-play: connect your accounts, pick a destination (like Notion), and set a trigger.
You’ll need an n8n instance (cloud or self-hosted) and accounts for the tools you want to connect, like Notion, Gmail, Slack, or Google Drive. Most setups require creating API tokens or OAuth connections once, then saving them securely in n8n credentials. If you want AI summaries, add an OpenAI API key and decide what to store (full text, summary, or both). Start with one use case, like meeting recaps, then expand to email-to-knowledge and research capture.
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