Oyma vs tl;dv

Modern remote work produces an overwhelming volume of video conferences. In response, two distinct architectural approaches have emerged to capture spoken agreements and decisions: cloud-first video intelligence platforms and local-first document workspaces.

tl;dv is an established European meeting intelligence platform built for product managers, user researchers, and revenue teams. It pairs video recording with multi-language AI transcription, video clipping, and collaborative cloud workspaces designed to turn hours of video calls into digestible company repositories.

Oyma approaches the problem from the opposite premise: meetings are notes, not video archives. Instead of storing gigabytes of video on remote cloud servers and charging monthly per-seat SaaS fees, Oyma captures call audio locally on your Mac, runs speech-to-text recognition via embedded Whisper models, and deposits clean, structured Markdown documents directly into your local filesystem or Obsidian vault.

This guide provides an objective, evidence-based architectural comparison between tl;dv and Oyma, helping you decide whether a collaborative cloud video platform or a private local-first notes workspace best meets your team’s operational needs.

Architectural contrast: Cloud video platform vs local vault

The fundamental difference between tl;dv and Oyma lies in their media storage models and operational infrastructure boundaries:

The tl;dv architecture: Centralized video intelligence

tl;dv operates as a multi-tenant cloud collaboration service:

• When you record a call with tl;dv, audio and video streams are transmitted to tl;dv’s European cloud infrastructure (hosted in AWS EU regions).
• Speech-to-text recognition, multi-language translation, and AI synthesis (generating executive summaries and key topic chapters) execute on remote cloud servers.
• Media assets—including high-resolution video recordings, audio tracks, and transcripts—are stored in tl;dv’s cloud databases. To review a meeting, share a snippet, or search past calls, team members access tl;dv’s web dashboard or desktop app.
• Exporting notes requires copying text, exporting PDF summaries, or pushing structured data through integrations with Notion, Slack, Google Docs, or HubSpot.

The Oyma architecture: On-device data sovereignty

Oyma operates under a strict local-first model:

• Audio is captured directly from macOS system output and microphone inputs using native ScreenCaptureKit and CoreAudio frameworks.
• Speech recognition runs 100% on-device using embedded OpenAI Whisper models optimized for Apple Silicon unified memory and Metal GPUs.
• Summaries are generated on-device via local Ollama models or sent directly over TLS to your personal Anthropic or OpenAI API keys (BYOK) with zero intermediary proxy servers.
• The finished document is written directly to your local drive as an ordinary CommonMark file (.md) with YAML frontmatter, audio timestamp chips, and embedded Markdown tables.
• Your meeting notes live in your local vault alongside your daily journals, project specifications, and research documents, requiring zero proprietary software or cloud subscriptions to remain accessible indefinitely.

Video capture vs audio-first notes

A major operational divide between both tools is the medium of record:

tl;dv’s video-first workflow

• Full video recording: tl;dv captures video feeds, presentation slides, and shared screens alongside spoken audio.
• Timestamped clipping: Users can highlight a 30-second snippet of customer feedback or design critique and create a shareable video link to embed in Jira, Slack, or Notion.
• Visual context: If reviewing facial expressions, software demonstrations, or visual slide decks is critical to your work, tl;dv provides full visual fidelity.
• Storage footprint: Video files consume hundreds of megabytes or several gigabytes per call, requiring cloud hosting and high-bandwidth broadband connections.

Oyma‘s audio-first workflow

• Lightweight audio capture: Oyma records dual-track audio (mic and remote speaker output) compressed into compact AAC/M4A audio files stored in your vault’s Recordings/ directory.
• Minimal disk usage: A 45-minute audio recording consumes roughly 25 to 40 MB of local disk space, making thousands of meetings manageable on standard laptop drives.
• Interactive audio scrub chips: Clicking any timestamp chip ([00:18:45]) inside the Markdown editor instantly scrubs the embedded local audio player to that exact millisecond. You can listen back to verify ambiguous quotes without wading through video streams.
• Distraction-free focus: By focusing on written text and audio verification rather than video playback, Oyma keeps you focused on writing clear notes and actionable outcomes.

Capture mechanics: Bot vs botless recording

Both platforms provide methods to capture virtual meetings, but handle conference participation differently:

Dimension / Metric	tl;dv	Oyma
Capture Method	Automated Bot or Desktop App	100% Botless Native macOS
Supported Platforms	Zoom, Google Meet, Microsoft Teams	Zoom, Meet, Teams, Webex, Slack, Discord
Bot Admittance	Bot requests entry to the call room	Zero bot; completely invisible to attendees
Attendee Perception	Bot appears as a meeting participant	No external presence; local system audio tap
System Audio Driver	Custom audio extension / bot feed	Native macOS ScreenCaptureKit (macOS 14.2+)
Multi-channel Separation	Stereo cloud audio separation	Native dual-track isolation (mic vs remote audio)

The conference presence divide

In tl;dv, while a desktop recorder is available, many organizations rely on its automated bot to join scheduled calendar events. This requires meeting hosts to admit the bot to the call and explain its presence to external clients who may be wary of third-party recording software.

In Oyma, recording is universally bot-free across all supported conferencing tools. No bot ever requests entry to your meeting, no automated attendee sits in the roster, and no external webhook is registered with video conferencing vendors. Capture runs entirely locally through macOS native system audio APIs.

Privacy, compliance, and regulatory boundaries

Data privacy requirements frequently dictate which architecture an organization can legally deploy:

tl;dv’s security and privacy posture

• Headquartered in Europe and compliant with European Union General Data Protection Regulation (GDPR).
• Data hosted in European cloud data centers with TLS 1.3 encryption in transit and AES-256 encryption at rest.
• Maintains strict privacy terms ensuring that customer meeting data is not used to train foundation AI models without explicit consent.
• However, because media is uploaded, processed, and stored on remote multi-tenant cloud infrastructure, companies handling confidential customer records, patient health information (HIPAA), or legal client communications must execute Data Processing Agreements (DPAs) and vendor security reviews.

Oyma‘s hardware-isolated privacy posture

• Zero audio/video egress: At no point during recording, transcription, or storage does a single byte of audio leave your Mac.
• Mathematical data sovereignty: Speech recognition executes on local Apple Silicon hardware.
• Auditability: With Oyma‘s built-in Egress log, security teams can audit every outbound socket connection in real time.
• Local-only mode: For classified environments or air-gapped workstations, Local-only mode severs all non-loopback networking sockets at the runtime level.

Pricing models and total cost of ownership

The commercial models of both products reflect their infrastructure overhead:

tl;dv pricing structure

tl;dv uses a per-user monthly SaaS subscription model priced in Euros:

• Free Plan: Free (€0). Provides basic recording and transcripts, but enforces a 90-day retention window on past meetings and limits access to advanced AI summaries (reportedly 10 lifetime summaries on free accounts).
• Pro Plan: €18 per user per month billed annually (€216/year) or €29 monthly. Unlocks unlimited AI summaries, CRM integrations, downloadable video files, and team sharing.
• Business Plan: €29 per user per month billed annually (€348/year) or €39 monthly. Adds advanced Salesforce and HubSpot automation, multi-meeting reports, and coaching features.

For a product or sales team of 10 professionals on the Pro tier, tl;dv costs approximately €2,160 to €3,480 per year.

Oyma pricing structure

Oyma eliminates SaaS markups because processing runs on hardware you already own:

• Private Beta: Free during the initial invite-only beta on Apple Silicon Macs.
• Zero Compute Fees: On-device Whisper transcription and local Ollama models cost $0.00 in cloud fees, forever.
• Wholesale Token Pricing (BYOK): If you choose to connect frontier cloud models like Claude 3.5 Sonnet or GPT-4o, you pay foundation providers directly at wholesale developer rates. Summarizing a 45-minute meeting costs less than $0.02. A user with 25 meetings per month spends roughly $0.50 per month on AI tokens.

Where tl;dv is clearly better

tl;dv is an impressive, mature collaboration tool with several distinct strengths:

1. Video playback and snippet sharing: If your team conducts UX research, usability tests, or customer interviews where seeing screen shares, user facial expressions, and visual prototypes is essential, tl;dv’s synchronized video player and clip generator are vastly superior.
2. Team video repositories: tl;dv excels at creating shared organizational libraries where marketing, product, and sales teams can search across hundreds of past company video calls.
3. Multi-meeting AI synthesis: tl;dv’s Business tier can synthesize themes across multiple calls (e.g., “What are the top 5 objections raised across all sales calls this month?”).
4. CRM and workflow integrations: Deep two-way syncing with HubSpot, Salesforce, Notion, and Slack allows automated logging of call records into commercial business pipelines.
5. Cross-platform mobile apps: Full-featured companion applications for iOS, Android, and web browsers.

Where Oyma is clearly better

Conversely, Oyma is superior for writers, researchers, consultants, and engineers who prioritize data privacy and file-based knowledge management:

1. Notes that live in your vault: Meeting records are standard Markdown files stored directly on your disk, fitting seamlessly into your personal knowledge base.
2. Obsidian vault interoperability: Open your existing Obsidian vaults directly with zero conversion steps or import scripts.
3. 100% on-device speech processing: Your voice recordings never touch external servers. Whisper transcription runs entirely on your Mac’s Apple Silicon hardware.
4. Full offline operation: Record calls, edit notes, review transcripts, and generate Ollama summaries without an internet connection.
5. Rich personal knowledge tooling: Interactive spreadsheet-like tables, bidirectional [[WikiLinks]], graph visualization, and SQLite FTS5 search.

Summary verdict

Choose tl;dv if you manage a collaborative team that relies on full video recording, screen share playback, shareable video snippets for Jira or Slack, and centralized cloud repositories.

Choose Oyma if you are a knowledge worker, consultant, researcher, or developer who treats meetings as durable text records, requires botless on-device speech transcription, and wants thoughts preserved as plain Markdown files in a local Obsidian vault.

To learn more about how Oyma isolates notes and audio locally on your Mac, review our privacy architecture or read our guide to meeting recording without a bot.

Where tl;dv is better

• Built for team collaboration: shared libraries, multi-meeting reports and coaching.
• Native CRM integrations (Salesforce, HubSpot) and Zapier.
• iOS and Android apps plus web.
• Video recording with clips and highlights.

Thinking of moving? Your notes in Oyma are plain Markdown, so you can always take them with you. Start withgetting started, or read what leaves your Mac.

Looking at other options too? Read our guide to the best tl;dv alternatives.