Convin: AI conversation intelligence platform for contact centers and sales teams that records, transcribes, and scores calls, chats, and emails. Read.ai: Meeting summaries with engagement and sentiment analytics This comparison weighs them on pricing, features, and everyday workflow fit.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Convin when automating quality assurance across all contact-center interactions matters most, and Read.ai when personal meeting coaching matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
AI conversation intelligence platform for contact centers and sales teams that records, transcribes, and scores calls, chats, and emails.
Meeting summaries with engagement and sentiment analytics
Convin is an AI-backed conversation intelligence platform built primarily for contact centers and sales teams that handle high volumes of customer interactions. Its core function is to capture and analyze the full range of conversations, recording calls and ingesting chats and emails, then generating transcriptions and concise summaries for each interaction. On top of that data, Convin's AI analyzes conversations to detect buying signals, objections, competitor mentions, sentiment shifts, and recurring pain points, and it builds searchable conversation libraries. The platform applies automated call scoring for quality, sentiment, and compliance, which replaces sampling-based manual QA by evaluating interactions at scale rather than a small subset. Convin also offers real-time coaching cues and agent assistance during live calls, along with role-based dashboards for agents, managers, and leaders so each can see relevant performance data. It integrates with CRM systems to capture action items and next steps for follow-up. Convin serves regulated and high-volume industries such as fintech, banking, healthcare, real estate, and retail, and is aimed at teams that want data-driven coaching and quality assurance rather than subjective spot checks. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Read.ai generates AI summaries, transcripts, and live notes for meetings, and adds a personalized meeting coach with speaker and engagement analytics. It works across Zoom, Google Meet, and Microsoft Teams, supports 20+ languages, and integrates with Slack, Salesforce, HubSpot, Notion, and Jira. The permanent free plan covers 5 meeting transcripts per month (reports kept about a year); video and audio playback are reserved for the Enterprise tier and above.
Best suited for
Convin is a free tier with paid upgrades (freemium); Read.ai is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Convin | Read.ai |
|---|---|---|
| Core capability | Automatic recording and transcription of calls, chats, and emails | Transcripts and AI summaries |
| Standout feature | AI call scoring for quality, sentiment, and compliance | Action items |
| Team usage | Real-time agent coaching cues and live assistance | Meeting engagement and sentiment metrics |
| Integrations | Searchable conversation library with buying-signal and objection detection | Automatic recaps |
| Languages & capture | Role-based dashboards for agents, managers, and leaders | Searchable notes |
Convin
Choose Convin if you need automating quality assurance across all contact-center interactions — strengths include analyzes interactions across voice, chat, and email channels.
Read.ai
Choose Read.ai if you need team meeting notes and recaps — strengths include adds meeting analytics on top of notes.
Convin
Read.ai
It depends on your workflow. Convin is strong for automating quality assurance across all contact-center interactions, while Read.ai is strong for ai summaries with meeting analytics. Both transcribe and summarize meetings.
Convin is a free tier with paid upgrades and Read.ai is from $15/mo. Check each vendor's pricing page for the latest plans and free-tier limits.
You can — some teams pair them when each covers a different part of the meeting workflow.
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