Users report mixed experiences with tldv, with some praising its feature-rich free plan and accurate transcription capabilities that save significant time through AI-generated summaries and relevant highlights. The platform receives a 4.7-star rating from 396 reviews on G2, indicating generally positive reception among many users. However, other users describe reliability issues, with some Reddit users calling it "terrible" and "unreliable" for their business needs.

Read.ai faces more significant user satisfaction challenges, receiving a low 1.7-star rating from 61 reviews on Trustpilot. Users report serious security concerns, particularly noting that the platform continues to join calls without approval even after account deletion. Many users are reportedly leaving the platform due to these persistent issues with unauthorized meeting access and other reliability problems.

For more information, readers can explore these sources: 1, 2, 3, 4, 5.

tldv offers accurate transcriptions and an intuitive interface with a generous free plan that appeals to individual users and small teams. The platform provides solid basic functionality for meeting recording and summarization, with AI agents handling routine tasks like CRM logging. However, it suffers from limited platform support and lacks mobile app availability, while integrations remain somewhat surface-level without deeper workflow automation.

Read.ai positions itself as a comprehensive meeting copilot with advanced analytics including engagement scores, sentiment analysis, and speaker balance metrics. The tool excels at providing detailed meeting insights and supports in-person recordings through its iOS app, making it suitable for hybrid work environments. Unfortunately, the free tier is restrictive at only 5 meetings per month, the interface can feel cluttered, and the higher pricing tiers may deter smaller organizations.

tldv works best for cost-conscious teams and individual professionals who need reliable transcription and basic meeting management without complex analytics. Small businesses using standard video conferencing platforms will find the straightforward approach and desktop app functionality adequate for their needs. The tool suits users who prioritize simplicity and don't require extensive mobile access or advanced meeting intelligence features.

Read.ai targets enterprise teams and data-driven organizations that want comprehensive meeting analytics and performance insights. Sales teams, consultants, and global organizations benefit from its sentiment analysis, real-time translation, and in-person recording capabilities. The platform serves users willing to pay premium prices for detailed meeting intelligence, though both tools ultimately fall short of creating truly actionable workflows that help users implement meeting outcomes effectively.

Why users switch away from tldv or Read.ai

Users switch away from tldv primarily due to its limited platform support. Unlike competitors such as Read.ai that offer comprehensive mobile applications and browser-based solutions, tldv restricts users to desktop applications for Windows and macOS only, with no native mobile app available. This limitation forces users who need meeting recording capabilities on mobile devices or other platforms to seek alternatives that provide broader accessibility across different operating systems and devices.

The service's dependency on internet quality creates reliability issues that drive users to competitors. When internet connectivity is poor or unstable, tldv's performance degrades significantly, affecting transcription accuracy and overall functionality. Users who require consistent performance regardless of network conditions often migrate to solutions that offer more robust offline capabilities or better handling of variable internet speeds.

Privacy concerns represent another significant factor in user churn from tldv. Users have expressed worries about data security and privacy practices, particularly in business environments where sensitive information is discussed during recorded meetings. Organizations with strict compliance requirements or privacy-conscious individuals frequently switch to alternatives that offer enhanced security features, better data governance, or more transparent privacy policies that align with their operational needs.

Users switch away from Read.ai primarily due to its restrictive free tier, which limits users to only 5 meetings per month with full notes. This constraint is significantly more limiting compared to competitors who offer more generous free plans, forcing users to upgrade to paid tiers or seek alternatives that provide better value for occasional users.

The complex and cluttered user interface presents another barrier to user retention. With numerous features including notes, analytics, search functionality, and engagement metrics all competing for attention, users report a steep learning curve that makes the platform feel overwhelming rather than intuitive. Some users specifically describe the interface as "confusing" and find it fails to deliver the time-saving benefits they expected.

Privacy concerns also drive users away, particularly around the platform's meeting participation practices. Users have raised issues about Read.ai joining meetings without explicit consent from all participants, creating potential boundary violations in professional settings. Additionally, the higher pricing structure for full functionality, especially at the Enterprise level with video playback features, deters small teams and budget-conscious users who find more affordable alternatives elsewhere.

FAQs

Would tldv work for in-person meetings? What about Read.ai?

tldv would not work for in-person meetings. Read.ai would work for in-person meetings - it has an iOS app that can capture in-person/offline meetings with one tap.

What do users say about the quality of transcriptions?

Users say tldv provides accurate transcriptions. For Read.ai, users appreciate that the summaries are considered "smart," capturing questions asked and topics discussed, though specific feedback on transcription accuracy isn't mentioned.

Do these tools help a user follow up with action items from the meeting? How so?

Read.ai generates reports after meetings that include action items along with key points and various metrics. It also provides an "AI search" feature across all meeting transcripts and can automatically sync meeting summaries to platforms like Slack and CRM systems.

Do these tools integrate with software like Hubspot, Salesforce, or Linear?

Yes, both tools integrate with these platforms. tldv integrates with HubSpot, Salesforce, Notion, and 5,000+ other applications. Read.ai has robust integrations including HubSpot, Salesforce, Confluence, Jira, Notion, and Slack.

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