7 Read AI Alternatives Worth Trying in 2026

Bot and botless recording and transcription: Fellow gives you the flexibility to record meetings with or without a bot. I found the botless recording reliable in the background, while the bot option works across major meeting platforms and supports transcription in more than 92 languages. The transcription itself is one of Fellow’s strongest points in my experience, with 95%+ accuracy. I also like that organizations can set recording rules, control the default recording method, and use consent capture when needed.

AI meeting summaries: Fellow’s AI summaries turn a full meeting into a more manageable recap by pulling out key takeaways, action items, and decisions. In my experience, the summaries are consistently one of the most helpful parts of the post-meeting workflow.

Meeting agendas and pre-meeting briefs: Fellow’s agenda tools help teams establish talking points and action items before a call, while AI can suggest topics and provide a pre-meeting brief with information about participants and a recap of previous meetings. Fellow also extends its agenda functionality through Ask Fellow and MCP.

Ask Fellow: Ask Fellow lets you search and ask questions about information from your meetings. It can create, add to, rewrite, and reorder meeting agendas, while the MCP server lets compatible AI tools such as Claude work with Fellow meeting information.

Security and governance: Fellow’s security controls are a major reason I would consider it for organizations rather than just individual users. It is SOC 2 compliant, does not train models on your data, and gives admins control over recording rules, consent capture, password-protected sharing links for meeting notes, plus bot and botless recording options. Organizations can also use optional Zero-Day Retention, custom data retention policies, and redaction for transcripts, AI summaries, and video, while the Compliance Portal provides another layer of support for security and compliance management.

Transcription: Fathom delivers solid 85–90% transcription accuracy in my experience, although it’s not quite as accurate as Fellow or MeetGeek. I like that the transcript is easy to edit and that clicking a section of text takes you directly to that point in the recording.

AI meeting summaries: Fathom’s AI notes focus on the key points from a meeting rather than producing lengthy summaries. This structure is easy to scan, especially when reviewing several meetings in a row. However, if you prefer more detailed meeting notes, Fellow and some other alternatives offer greater depth.

Ask Fathom: Ask Fathom works like an AI assistant for your meeting recordings. I could ask questions about a call or use it to create a follow-up email without manually searching through the transcript. It is a useful productivity feature, although Fathom’s overall feature set remains more lightweight than Read AI.

Meeting recordings and clips: Fathom provides high-quality video recordings that you can share with your team, which is useful for customer success and recruiting workflows. You can also create short clips from specific moments in a meeting and share them through tools such as Slack.

Integrations and collaboration: Fathom integrates with tools including Slack, Asana, HubSpot, Salesforce, Close, and Zapier, giving it connections to more than 9000 other apps. Its team features also let users organize meetings into folders, add comments, and mention teammates.

Transcription: Fireflies delivered between 85% and 95% transcription accuracy in my experience. It isn’t as accurate as Fellow, but I find it more reliable than Otter AI. I also like that transcripts are divided by speaker and that Fireflies can transcribe uploaded audio and video files in addition to meetings.

AI meeting summaries: Fireflies automatically creates meeting recaps with an overview, key points, timestamps, and action items. I find the summaries well structured and easy to scan, while smart search makes it simple to find specific questions, metrics, dates, or other details from a meeting.

Live Assist: Live Assist brings Fireflies into the meeting itself rather than limiting it to post-meeting notes. It can summarize what’s been discussed so far, identify action items, and help you catch up when joining a meeting late. I didn’t use it in every meeting, but when I needed to quickly understand a long conversation, it saved me from having to review the recording afterward.

Conversation intelligence: Fireflies offers analytics that can help teams understand how meetings are going, including speaker talk time and sentiment. It’s useful for sales calls, where conversation patterns and meeting metrics can provide useful coaching insights.

Collaboration and integrations: Fireflies is very strong for teams because it keeps meeting notes, recordings, and transcripts in one place while allowing teammates to edit, comment, and react to specific parts of a transcript. Its integrations include Google Calendar, Google Meet, Notion, ClickUp, monday.com, Slack, Google Docs, and Asana.

Real-time transcription: Otter transcribes meetings in real time and automatically organizes the transcript with timestamps and speaker labels. In clear audio, I got around 85% accuracy, with only occasional mistakes that were easy to correct manually. However, it was less accurate than Fireflies, Fathom, Fellow, and tl;dv in my testing, and speaker identification sometimes needed manual corrections.

AI meeting summaries: After a meeting, Otter automatically highlights key points and creates action items. These summaries are useful for quickly reviewing what was discussed, but they are fairly basic compared with Fellow and MeetGeek. It is a good fit if you prefer minimalist meeting notes rather than highly detailed AI recaps.

Channels and shared spaces: Channels are one of Otter’s strongest team features. You can create public or private spaces where meeting transcripts, summaries, recordings, and highlights stay organized and searchable.

Collaboration and task management: I’m pleasantly surprised by Otter’s collaboration tools. Team members can share transcripts, add time-stamped comments, control viewer or collaborator permissions, and highlight important sections. You can also turn action items into tasks, assign them to teammates, and track their progress.

Otter AI Chat: Otter AI Chat lets you interact with your meeting transcripts instead of manually searching through them. I could ask questions, extract action items, or quickly recall information from older conversations, and the responses were fast and accurate in my testing. It adds a useful layer of interaction to Otter’s otherwise straightforward transcription workflow.

Bot-free transcription: Granola listens to your device’s audio instead of adding a bot to the meeting, so other participants don’t see an AI assistant join the call. This approach is less intrusive and I noticed that conversations are more natural without another participant in the meeting. The live transcript is accurate, although speaker identification is basic and transcripts label participants as Speaker A, Speaker B, and so on.

AI meeting notes: This is the feature that impressed me most. Granola doesn’t just summarize the transcript, it also incorporates the notes you take during the meeting into the final AI-generated summary. Even when my notes were messy shorthand, the Enhance notes function turned them into structured, usable meeting notes.

Ask Granola: Ask Granola works like an AI chatbot for your meetings, letting you ask questions, create follow-ups, or identify action items. Its fast and useful for getting specific information. It’s also included in the Free plan, which makes the feature easy to try.

Meeting templates: Granola offers templates for different meeting types, including 1:1s and customer calls. You can customize the structure by adding or removing sections, so the resulting notes follow the format you actually need. It’s a useful addition to an otherwise minimalist tool, particularly for recurring meeting types.

Integrations and sharing: Granola integrates with tools such as Google Workspace, HubSpot, Slack, and Zapier, and you can share meeting notes through email, Slack, links, or copied text. Shared folders also let small teams centralize meeting notes. However, its collaboration capabilities remain fairly basic compared with tools such as Fellow or Fireflies.

Transcription and recording: tl;dv automatically records and transcribes meetings on Microsoft Teams, Zoom, and Google Meet, while also supporting uploaded files. Its transcriptions are highly accurate, although they don’t quite reach Fellow’s level. The process is also fairly fast, with recordings, transcripts, and notes generally available within 10–15 minutes after a meeting.

AI meeting notes: This is one of my favorite features. tl;dv turns meetings into concise notes covering key points, next steps, and other customizable sections based on the meeting template. This makes individual meetings easy to review, while the built-in AI chatbot can answer questions about the meeting or summarize specific moments.

Multi-meeting AI insights: tl;dv can analyze multiple meetings at once instead of limiting AI questions to a single conversation. It’s useful for spotting recurring topics, comparing what changed between meetings, and collecting action items across several calls. You can also use global search and smart trackers to monitor specific keywords or phrases across your meetings.

AI reports: AI reports go beyond asking questions about individual meetings by creating structured, recurring overviews from your meeting history. You can choose what information to include, which meetings to analyze, and when to receive the report. It’s useful for keeping track of recurring action items, deadlines, and other information across multiple conversations.

Meeting templates and AI agents: Meeting templates let you structure notes around specific use cases such as sales, HR, customer success, management, or product meetings. You can also create custom templates and map sections to CRM fields. AI agents take this further by automating post-meeting workflows, turning decisions, customer requests, and next steps into structured outputs.

Transcription and recording: MeetGeek delivered more than 95% transcription accuracy in my testing, making it one of the most accurate AI note-takers I have tried. It identifies speakers and adds timestamps, while also allowing you to transcribe uploaded audio and video files. MeetGeek supports both bot-based and botless recording, giving you more flexibility depending on the meeting.

AI meeting summaries: This is one of MeetGeek’s strongest features. Instead of producing a basic recap, it breaks meetings down into tasks, next steps, concerns, facts, and decisions. I find the summaries detailed enough to understand the main points of a meeting, and you can edit and share them with your team.

Meeting insights and analytics: MeetGeek goes beyond summarizing what was said by analyzing how the meeting unfolded. It provides insights such as talk time, participation, sentiment, silence rate, punctuality, and engagement. In my experience, these analytics were among the most advanced I encountered, making this feature very valuable for sales and customer-facing teams.

AI Chat and meeting history: AI Chat lets you ask questions about your stored meetings. It’s useful for quickly retrieving details from previous conversations, especially as your meeting history grows. This makes MeetGeek more useful over time.

Integrations and workflows: MeetGeek supports 20,000+ apps through Zapier, n8n, and Make. I like the HubSpot integration because it can automatically move meeting information and key highlights into the CRM, reducing manual work after customer calls.