Fellow vs Transkriptor

Fellow is a secure AI meeting assistant designed to record, transcribe, and summarize meetings across platforms like Zoom, Microsoft Teams, and Google Meet. It prioritizes privacy, ensuring meeting data is accessible only to authorized users with granular controls and compliance with SOC 2, HIPAA, and GDPR standards. The platform supports pre-meeting preparation with collaborative agendas and AI-generated briefs, helping teams stay focused and productive. Post-meeting, Fellow automates follow-ups, action items, and CRM updates, integrating with over 50 tools including Salesforce, HubSpot, Jira, and Slack. It offers botless recording options for added privacy and supports regulated industries such as finance and healthcare with features like transcript redaction and audit trails. Fellow serves diverse teams from sales and marketing to engineering and operations, centralizing meeting knowledge and streamlining workflows.

Transkriptor turns audio and video into editable text transcripts for meetings, interviews, lectures, podcasts, and phone calls. It is built for professionals, students, and teams who need accurate speech-to-text without spending hours on manual note taking.

Upload MP3, MP4, WAV, and other common formats, record live in the browser or mobile apps, or connect your calendar to capture Zoom, Microsoft Teams, and Google Meet sessions. Transkriptor transcribes in 100+ languages, identifies speakers, and adds summaries, action items, sentiment analysis, and an Ask feature to search across your transcript library with cited sources.

The product is available on web, Chrome extension, desktop, iOS, and Android. Integrations route transcripts and notes into CRM, storage, and productivity tools such as Salesforce, HubSpot, Notion, Slack, Google Drive, and Dropbox. Security certifications include SOC 2, ISO 27001, and GDPR compliance with EU-hosted infrastructure.