tl;dv
vs
Otter

tl;dv vs Otter.ai

A practical look at price, capture, notes, workflows, and what each product is actually good at.

The short answer

Which one fits better?

Best fit

tl;dv

Free online recording, clips, and recurring reports

Price

Free; Pro from $18/user/month annually; Business from $29 annually

Pricing details

Free includes unlimited recordings and transcripts, but recordings are retained for three months, older recordings are archived shortly after processing, advanced AI credits are lifetime-limited, and after the first ten meetings generated notes cover only the first ten minutes. Paid prices are per user/month: Pro is $18 with annual billing or $29 month-to-month; Business is $29 or $39. Enterprise is quoted separately.

Free option: Yes: unlimited recordings and transcripts, with retention, archive, AI-note, credit, duration, and concurrency limits.

Good for

  • A generous free recorder
  • Clips and sales playbooks

Watch for

  • Bot-free mode drops video and chat
  • No bulk export; API is alpha

Best fit

Otter.ai

Affordable live transcription on desktop and mobile

Price

Free; Pro from $8.33/user/month annually

Pricing details

Basic includes 300 transcription minutes per month, a 30-minute cap per conversation, three lifetime file imports, and access to the 25 most recent conversations. Paid prices are per user/month: Pro is $8.33 with annual billing or $16.99 month-to-month, with 1,200 in-app minutes, 90-minute meetings, and ten monthly imports; Business is $19.99 or $30 and adds unlimited in-app meetings, four-hour meetings, and more administration. Enterprise is custom and gates API/webhooks, video replay, SSO/SCIM, and some compliance options.

Free option: Yes: 300 minutes per month, 30 minutes per conversation, three lifetime imports, and a 25-conversation visible history.

Good for

  • Live text and simple capture
  • A useful free allowance

Watch for

  • API, webhooks, and video need Enterprise
  • No team-wide action-item board

Side by side

The details that matter.

Ratings show documented breadth, not overall product quality. Open a row for specifics.

Capture options

tl;dvBroad support
OtterBroad support

tl;dv

Meeting bot or bot-free desktop recording

macOS and Windows can capture system audio from any meeting platform without a bot. The bot remains the richer mode for supported conferencing platforms.

Evidencetl;dv bot-free recording

Otter.ai

Meeting agent or automatic bot-free desktop capture, plus mobile

Otter can join major meeting platforms, capture from its apps, and show text live. Its desktop app can detect Zoom, Teams, Meet, and other browser calls from microphone activity, then stay off, prompt the user, or start recording automatically for each meeting type. Scheduling and limits depend on the chosen plan.

EvidenceOtter pricingOtter desktop automatic recording

Desktop and mobile

tl;dvAvailable with limits
OtterBroad support

tl;dv

Web, Chrome, macOS, Windows, and an early mobile app

Desktop capture is broad. tl;dv now documents a mobile app for in-person meetings, but describes it as recently launched, early-stage, and available for testing.

Evidencetl;dv bot-free recordingtl;dv mobile app

Otter.ai

Web, macOS, Windows, iOS, and Android

Broad app coverage makes Otter easy to use in virtual or room conversations. The desktop app now supports configurable automatic recording for detected calls. Feature parity and allowances differ between in-app and imported usage.

EvidenceOtter pricingOtter desktop automatic recording

In-person capture and speaker labels

tl;dvAvailable with limits
OtterBroad support

tl;dv

Desktop microphone or early-stage mobile recording

A laptop can capture room audio and the newer mobile app can record in-person meetings. tl;dv documents speaker identification generally but does not explain whether the early mobile path preserves the same naming behavior, so test it before a broad rollout. There is no documented Watch capture.

Evidencetl;dv mobile apptl;dv speaker identification

Otter.ai

Strong mobile live transcription

iOS and Android are mature room-recording tools with live text. Otter separates voices after processing and can learn previously tagged speakers, but new or uncertain voices remain Speaker 1 or Unknown until tagged. Live platform-name labels are a separate Notetaker behavior, strongest on Zoom.

EvidenceOtter pricingOtter speaker identification

Recordings, playback, and clips

tl;dvBroad support
OtterAvailable with limits

tl;dv

Rich playback, clips, and reels—with a botless video caveat

Bot recordings support video, transcript, clips, reels, and shareable moments. Bot-free recordings are audio-only and omit video, screen sharing, and chat.

Evidencetl;dv bot-free recordingtl;dv free-plan limits

Otter.ai

Audio playback broadly; video replay on Enterprise

Audio is synchronized to text on ordinary plans. Video replay requires Enterprise and currently applies to supported Zoom and Google Meet recordings rather than every capture path.

EvidenceOtter pricingOtter conversation export

Notes, action items, and search

tl;dvBroad support
OtterBroad support

tl;dv

AI notes, action digests, multi-meeting reports, and topic tracking

The product is particularly good at synthesizing multiple meetings and turning recurring prompts into reports, including action lists grouped by person and date. Those are report or checklist outputs rather than a native task lifecycle with workspace queues and completion state. Free accounts get a limited number of AI notes.

Evidencetl;dv pricingtl;dv free-plan limitstl;dv AI prompts

Otter.ai

Live transcript, search, and automatically assigned action items

Otter’s transcript experience is mature. It automatically detects and assigns action items, links generated work back to transcript evidence, and gives each user a cross-meeting list with edit, reassign, and completion controls. That list only shows work assigned to the signed-in person, rather than a workspace-wide manager view. Allowances and advanced custom workflows vary by plan.

EvidenceOtter pricingOtter action itemsOtter automatic action-item assignment

People, companies, and context

tl;dvAvailable with limits
OtterAvailable with limits

tl;dv

Meeting library and multi-meeting synthesis

tl;dv can query and report across accessible meetings, but it does not present a broader email/calendar/person/company relationship memory as its core model.

Evidencetl;dv MCP

Otter.ai

Cross-meeting search and chat

Otter can answer across conversations, but does not emphasize full relationship pages combining meetings, email, calendar, people, companies, and future events.

EvidenceOtter pricing

Automatic sharing and workspace defaults

tl;dvBroad support
OtterAvailable with limits

tl;dv

Granular team privacy defaults and automatic sharing

Teams can automatically share with participants, publish to a team or organization library, and apply admin privacy rules using meeting context such as title, internal or external type, and team role. Sensitive categories can remain private by rule.

Evidencetl;dv team privacy defaults

Otter.ai

User auto-share and Enterprise workspace defaults

Individuals can auto-share by calendar audience and use channels. Enterprise admins can choose the options members see and set a default, but ordinary audience defaults are not fully locked; admins can only force privacy by leaving “Don’t share” as the sole option. External auto-share channels are also Enterprise-only.

EvidenceOtter automatic sharingOtter workspace auto-share controls

Automations

tl;dvBroad support
OtterAvailable with limits

tl;dv

Recurring AI reports and sales workflows

Automated multi-meeting reports, playbooks, CRM updates, and conditional Slack posts are useful, especially for customer-facing teams. Slack workflows can format decisions and action items with owners and deadlines, but team workflow scope excludes team admins and billing-group admins, and the overall system is less open-ended than a general meeting condition/action builder.

Evidencetl;dv pricingtl;dv Slack workflows

Otter.ai

Meeting agents and custom workflows, with plan differences

Otter automatically detects and assigns action items, tracks each person’s work across meetings, can create Jira issues with assignees and due dates, and uses custom workflows, Zapier, and AI Chat actions for role-specific output and downstream work. The personal action view does not give a manager one board for every assignee, and connector or workflow eligibility varies by plan.

EvidenceOtter pricingOtter action itemsOtter automatic action-item assignmentOtter Jira integrationOtter AI Chat connectors

Integrations

tl;dvAvailable with limits
OtterBroad support

tl;dv

CRM and collaboration integrations on paid plans

tl;dv connects to common CRMs and work tools; exact access varies by plan. The catalog is oriented around GTM and collaboration workflows.

Evidencetl;dv pricing

Otter.ai

Meeting platforms, CRM, Zapier, Slack, Jira, work-app connectors, and Enterprise exports

Paid plans connect Salesforce, HubSpot, and Zapier. AI Chat’s Advanced mode can read and act in Gmail, Google Drive, Notion, and Jira, with Salesforce context available separately. Slack can post summaries and action notifications, while Enterprise supports account-manager-enabled SharePoint and automatic Drive exports. Availability and setup vary substantially by plan.

EvidenceOtter pricingOtter AI Chat connectorsOtter Jira integrationOtter Slack integrationOtter SharePoint export

API, MCP, CLI, and data portability

tl;dvAvailable with limits
OtterAvailable with limits

tl;dv

MCP on Pro+ and a public alpha API

MCP can search meetings and participants, with typical result sets capped at 50. A subtle access rule matters: viewing a shared meeting is not enough if its organizer is on Free—the organizer must have Pro or higher before that meeting is available through MCP or the API. The API is documented as v1alpha1 and includes recording downloads, so integration teams should expect contract evolution.

Evidencetl;dv MCPtl;dv APItl;dv download limits

Otter.ai

MCP broadly; API and webhooks on Enterprise

MCP is listed even on Basic and can access meetings captured by or shared with the authenticated user. It currently has no public API-key setup for arbitrary AI applications. The public API and webhooks require Enterprise and account-manager enablement.

EvidenceOtter MCP serverOtter public API

Security, privacy, and admin

tl;dvAvailable with limits
OtterAvailable with limits

tl;dv

Paid Team controls, with a looser domain Organization layer

Paid Teams add roles, billing administration, and forward-looking defaults; team settings do not override Team Admins. The separate domain-based Organization has no organization-wide admin defaults, any same-domain user can join it, and it cannot be deleted. Multi-team management is Business-only.

Evidencetl;dv pricingtl;dv team privacy defaultstl;dv organization and team modeltl;dv permission levels

Otter.ai

Business administration; advanced security on Enterprise

Business adds centralized features and bulk export. Enterprise adds SSO, SCIM, API access, video replay, granular retention, no-training by default, and HIPAA options. Several advanced controls—including retention and automatic Drive export—require account-manager setup.

EvidenceOtter pricingOtter workspace auto-share controlsOtter privacy and model trainingOtter Enterprise controlsOtter retention policyOtter conversation export

Languages

tl;dvAvailable with limits
OtterNarrow or indirect

tl;dv

Multilingual transcription; advanced multilingual mode is plan-gated

Language selection behavior varies by capture mode, and the multilingual Whisper option is documented for Business and Enterprise.

Evidencetl;dv pricingtl;dv bot-free recording

Otter.ai

Six transcription languages, two still in beta

Otter transcribes English, Spanish, French, German, Japanese, and spoken Mandarin with Simplified Chinese output. German and Chinese are beta. It normally handles one language per conversation; French can auto-switch with English, and other mixed-language pairs are not supported.

EvidenceOtter supported languages

Worth a look

Circleback

If neither tl;dv nor Otter quite fits, Circleback covers a different job: capturing online and in-person meetings and sharing them by rule. It is built for people and AI agents, with the same full meeting data available through its API, MCP, and CLI.

Every meeting

Bot, botless desktop app, iPhone, Android, or Apple Watch. Speaker labels every time; recording optional.

Shared company memory

Detailed notes, automatic sharing, and people and company context across every team.

People and AI agents

Assigned actions and automations for people; the same full meeting data for agents through API, MCP, and CLI.

Sources

First-party pricing, product docs, help articles, and release notes.

tl;dv sources13 first-party references
  • tl;dv pricing

    Official Free, Pro, Business, and Enterprise pricing and plan scope.

  • tl;dv free-plan limits

    Recording retention, archive behavior, AI-note coverage, lifetime credits, meeting duration, and concurrency.

  • tl;dv mobile app

    Recently launched early-stage mobile recording for in-person meetings.

  • tl;dv speaker identification

    General automatic speaker identification; the article does not document mobile-mode parity.

  • tl;dv bot-free recording

    Desktop capture and the audio-only limitation.

  • tl;dv MCP

    Plan eligibility, tools, access model, and result behavior.

  • tl;dv API

    Pro/Business eligibility and v1alpha1 status.

  • tl;dv team privacy defaults

    Admin-controlled automatic sharing, workspace-library publishing, and privacy rules for sensitive meetings.

  • tl;dv download limits

    No bulk export plus paid-plan, ownership, and permission requirements for individual recording downloads.

  • tl;dv organization and team model

    Automatic same-domain Organization membership, absence of Organization-wide admin defaults, and the paid Team hierarchy.

  • tl;dv permission levels

    Team roles, admin behavior, and the non-deletable domain Organization.

  • tl;dv AI prompts

    Cross-meeting action-item reports grouped by participant and date plus common analysis workflows.

  • tl;dv Slack workflows

    Conditional automatic summaries, decisions, and owner/deadline action lists plus the team-admin scope exception.

Otter.ai sources19 first-party references
  • Otter pricing

    Current free, Pro, Business, and Enterprise allowances and feature gates.

  • Otter Basic-plan limits

    Monthly minutes, per-conversation duration, lifetime imports, and 25-conversation history.

  • Otter desktop automatic recording

    August 2026 automatic detection, reminders, and bot-free recording behavior for Zoom, Teams, Meet, and other browser calls.

  • Otter automatic sharing

    Workspace defaults for automatic audience, collaborator permissions, and meeting-level overrides.

  • Otter supported languages

    Six-language scope, beta languages, one-language behavior, French/English switching, and reprocessing limits.

  • Otter speaker identification

    Post-processing diarization, learned speaker names, generic labels for new voices, and live Zoom behavior.

  • Otter action items

    Cross-meeting personal action-item view, transcript links, editing, reassignment, completion, and the lack of a workspace-wide all-assignees view.

  • Otter automatic action-item assignment

    Automatic detection and assignment of meeting action items to relevant workspace members.

  • Otter AI Chat connectors

    Advanced-mode Gmail, Google Drive, Jira, Notion, and Salesforce connector capabilities plus plan and mobile-version caveats.

  • Otter Jira integration

    Automatic Jira issue creation from meeting actions with assignees, due dates, projects, source links, and AI Chat access.

  • Otter Slack integration

    Summary posting, recurring-meeting delivery, rich previews, access handling, and action-item notifications.

  • Otter SharePoint export

    Enterprise automatic transcript, summary, and metadata export plus administrator and account-manager setup.

  • Otter workspace auto-share controls

    Enterprise eligibility, selectable defaults, user overrides, and the privacy-lock exception.

  • Otter MCP server

    Authenticated meeting scope, shared meetings, supported clients, and lack of a public MCP API key.

  • Otter public API

    Enterprise-only public API availability and account-manager enablement.

  • Otter privacy and model training

    Proprietary-model training on de-identified recordings and transcripts, plus third-party provider no-training and zero-storage commitments.

  • Otter Enterprise controls

    Enterprise no-training default, 2FA, export controls, audio removal, and advanced governance.

  • Otter retention policy

    Account-manager configured retention for full conversations, recordings, or transcripts.

  • Otter conversation export

    Individual and Business bulk exports across text, subtitle, and audio formats.

Questions people usually ask

Which is better: tl;dv or Otter.ai?

tl;dv gives online teams richer recordings, clips, and reports. Otter gives individuals a more familiar live transcript and mature phone-based recording workflow.

Which is less expensive, tl;dv or Otter.ai?

tl;dv: Free; Pro from $18/user/month annually; Business from $29 annually. Otter.ai: Free; Pro from $8.33/user/month annually. Compare the paid seats, included usage, recording access, and admin features you actually need.

Can tl;dv and Otter.ai record without a bot?

tl;dv: Meeting bot or bot-free desktop recording. Otter.ai: Meeting agent or automatic bot-free desktop capture, plus mobile. The useful check is whether your required capture mode keeps video, a recording, and speaker names.

Which is better for a whole company?

First ask who gets each note automatically; otherwise useful context stays with the recorder. Then compare permissions, retention, and enforced defaults. tl;dv: Granular team privacy defaults and automatic sharing. Otter: User auto-share and Enterprise workspace defaults.

Can I access and move the full meeting data?

tl;dv: MCP on Pro+ and a public alpha API. Otter: MCP broadly; API and webhooks on Enterprise. Check the selected plan, authentication model, transcript scope, export format, and retention window for the workflow you need.

How was this comparison researched?

We use first-party pricing pages, product pages, help docs, and release notes for both products. The sources are linked below.