tldv excels as a comprehensive meeting solution with strong sales and customer success features, offering unlimited free recordings and automated CRM integration that can update Salesforce or HubSpot directly. Its ability to draft follow-up emails, create tasks in project management tools, and provide multi-meeting coaching insights makes it particularly valuable for sales teams and growing businesses. However, the interface can feel intrusive during live calls, transcription accuracy isn't always reliable, and the pricing jumps significantly for advanced features like cross-meeting analysis.

Read.ai stands out for its unique focus on meeting analytics and real-time insights, providing detailed metrics on speaker participation, sentiment analysis, and meeting effectiveness that managers and coaches find invaluable. The platform offers high-quality transcriptions with sentiment markers and powerful search capabilities across all company meetings. Unfortunately, it suffers from processing delays of up to an hour after meetings, can overwhelm users with its metrics-heavy interface, and has a restrictive free plan that limits meeting length and quantity.

tldv is best suited for sales teams, customer success organizations, and startups that need robust CRM automation and follow-up workflows without breaking the budget on a free plan. Small to medium businesses that want an all-in-one solution for recording, note-taking, and basic coaching will find the most value, especially if they're already using popular CRM and project management tools.

Read.ai targets managers, sales enablement teams, and organizations focused on meeting optimization and performance analytics who can justify the higher cost for detailed insights. Companies that need to analyze communication patterns across teams, train speakers, or maintain searchable archives of meeting content will appreciate its analytical depth, though both tools ultimately require additional manual work to turn meeting insights into completed actions.

Comparison table

What users say about tldv and Read.ai

Users generally have mixed feelings about tldv, with many appreciating its comprehensive meeting automation capabilities. Long-term users report absolutely positive experiences, praising its robust features that can automate online meetings from start to finish. The platform appears to deliver consistent performance for users who have tested it extensively over extended periods.

Read.ai receives more critical feedback from users, with several concerning trends emerging in user reviews. While the platform offers okay real-time transcription capabilities and does a good job of capturing key points from calls, users find significant drawbacks that are driving them away from the service. Many reviewers describe Read.ai as a strong tool that feels somewhat vague, noting it's quick and efficient but contains an unnecessary amount of complexity that detracts from the overall user experience.

Users may switch away from tldv due to cost concerns, particularly when scaling to larger teams. The business plan at approximately $35 per user per month becomes relatively expensive for organizations with many team members. This pricing structure can create budget constraints that force teams to seek more affordable alternatives, especially when the cost accumulates across multiple users.

Technical limitations and performance issues also drive users to explore other options. Some users experience transcription delays or encounter errors in name recognition during meetings. Additionally, the interface overlays, including timers and other visual elements, can be intrusive during live calls, even though they can be minimized. These technical friction points can disrupt the meeting experience and reduce user satisfaction over time.

Feature accessibility restrictions in lower-tier plans create another reason for switching. Cross-meeting AI analysis, which provides valuable insights for coaching and trend analysis across multiple calls, is only available in higher-tier plans and not included in the free or pro versions. This limitation means users who want comprehensive analytics and insights must either upgrade to more expensive plans or find alternative solutions that offer these features at their current budget level.

Users often switch away from Read.ai due to concerns about transcript and summary accuracy, particularly when dealing with diverse accents or fast-paced conversations. The AI-generated content can contain inaccuracies that undermine the reliability of meeting records and analysis, making it difficult for users to trust the platform for important business decisions or follow-ups.

The significant processing delays present another major frustration for users who need timely access to their meeting data. With recordings and analysis taking up to an hour to become available after a meeting ends, users cannot quickly reference discussions or share summaries while the content is still fresh and relevant. This delay disrupts workflow efficiency and can impact time-sensitive business activities.

Many users also find Read.ai's interface overwhelming due to the abundance of metrics and analytics features. While the platform offers detailed insights like speaker talk time, sentiment scores, and speaking pace analysis, the complexity can be excessive for users who simply want clean transcripts and basic summaries. Additionally, the free plan's restrictive limitations on measured meetings and one-hour meeting length caps push users toward paid alternatives that offer more generous free tiers.

Using tldv

Does tldv work for in-person meetings?

No, tldv does not work for in-person meetings. It must join a video call through platforms like Zoom, Teams, or Meet, or use a browser extension. It's not intended for purely offline meetings.

Does tldv require a meeting bot to join the meeting?

Yes, tldv requires either a meeting bot to join the video call or uses a Chrome extension to access the meeting through your browser.

What do users say about the quality of tldv transcriptions?

Users generally find tldv transcriptions to be of good quality, with multi-language support that helps global teams communicate. However, some users report occasional transcription delays or errors, particularly with names.

How does tldv help users follow up on action items?

tldv helps with follow-up by automatically capturing action items and drafting follow-up emails. It can also create tasks in project management tools like Asana from meeting notes, and its automation engine can schedule next meetings using AI.

Does tldv integrate with software like Hubspot, Salesforce, or Linear?

Yes, tldv integrates with CRM platforms like HubSpot and Salesforce, automatically logging call notes and updating records. It also integrates with project management tools like Asana and Jira for creating tasks. Additionally, it offers over 5,000 app integrations through Zapier and API connections.

Using Read.ai

Does Read.ai work for in-person meetings?

No, Read.ai requires joining a video call digitally and is not designed for in-person meetings unless they are conducted through a conferencing app.

Does Read.ai require a meeting bot to join the meeting?

Yes, Read.ai joins Zoom/Teams/Meet calls as a participant called the "Read Assistant" that records and analyzes the meeting.

What do users say about the quality of Read.ai transcriptions?

Users report that summaries and transcripts are generally high-quality and include sentiment markers. However, some users find the AI transcript and summaries occasionally inaccurate, especially when speakers have accents or speak quickly.

How does Read.ai help users follow up on action items?

Read.ai generates smart meeting summaries and action items after calls. It can auto-share meeting summaries to participants and has integrations with tools like Notion, Salesforce, HubSpot, Jira, and Confluence to sync summaries into workflows.

Does Read.ai integrate with software like Hubspot, Salesforce, or Linear?

Yes, Read.ai integrates with HubSpot, Salesforce, Jira, and Confluence on Pro+ plans with auto-sync summaries. It also has Slack integration to share meeting reports, calendar integration for auto-joining scheduled calls, and Zapier/webhooks for custom workflows.

Another alternative: Circleback

Circleback provides best-in-class AI-powered meeting notes and automations. We support over 100 languages and automatic participant identification in both in-person and online meetings.

• Automatically-identified and assigned action items

• AI-enabled search across all meetings

• Automations with 100+ app integrations

• Industry-leading security with SOC 2 Type II, EU-U.S. Data Privacy Framework, and HIPAA compliance

• Ability to capture both online and in-person meetings with desktop and mobile apps