SpokenAct vs tl;dv

SpokenAct and tl;dv are both productivity tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

SpokenAct

The scraped page content provided does not match the tool data supplied: the page describes a visual identification app called Spotter, not a voice transcription product. No factual claims about transcription quality, summary accuracy, search behavior, or mobile performance can be sourced from this page. The tool data describes a voice-memo-to-summary workflow with on-device transcription and AI-organized tags, but the vendor page content does not confirm any of those specific implementation details. Evaluation against production reality — latency on long recordings, accuracy on technical vocabulary, behavior when the AI summary quota is exhausted — cannot be grounded in the available source material.

tl;dv

tl;dv records, transcribes, and summarizes meetings without a bot joining the call, then pushes structured notes, CRM updates, and drafted follow-up emails to your stack. The vendor states GDPR and SOC 2 compliance, which clears the procurement hurdle most meeting tools fail. The cross-meeting AI reporting layer — querying trends across dozens of calls at once — is where it pulls away from single-call summarizers. The ceiling appears when your team needs real-time decisions during the call itself: tl;dv processes after the fact, so anything requiring mid-call intervention stays a manual task. Teams running complex deal workflows with conditional CRM branching report adding manual cleanup steps the tool does not cover.

Attribute	SpokenAct	tl;dv
Pricing	Paid	Paid
Price	$9.99/mo or $59.99/yr	—
Free trial	7 days	No
Open source	No	No
Has API	No	No
Self-hosted option	No	No
Platforms	iOS	—
Pros	On-device transcription (as stated in vendor data) means recordings convert to text without sending audio to a server, so field notes from a client visit or a dead-zone commute are not blocked by connectivity. Metered AI summaries on the free tier let you evaluate summary quality before committing to a paid subscription, so you find out whether the output structure matches your workflow before paying anything. Mobile-first design targeting hands-free capture means sales reps and real estate agents can log observations immediately after a showing without stopping to type, reducing the gap between observation and record.	No-bot recording architecture, so your meeting roster does not show an extra participant and consent friction is reduced for external calls. Configurable summary formats including MEDDIC and custom templates, which means the output matches your actual sales methodology rather than a generic bullet list you have to reformat. Cross-meeting AI querying that surfaces trends across dozens of calls at once, so a product manager can pull every feature request from the past month without watching a single recording. Automatic CRM logging and follow-up email drafting from call content, so reps skip the 20-minute post-call admin block that typically falls off when pipelines get busy. GDPR and SOC 2 compliance with end-to-end encryption and customer-owned data, which means it passes the security review that kills most meeting tools before procurement even sees the demo.
Cons	AI summaries are quota-gated on the free tier — the vendor states five summaries — so anyone recording more than a handful of sessions per week hits the ceiling fast and either upgrades or stops getting structured output. Teams that need daily summarization will find the free tier non-functional for their actual volume. No API access and no self-hosted option means you cannot pipe transcripts into your own CRM, note system, or data pipeline without manual copy-paste. Sales teams or research workflows that need records to land automatically in an external system will reach this wall immediately and move to a transcription service that exposes an API — such as AssemblyAI or Whisper-based self-hosted setups. The vendor page content available at curation time described a completely different product, which means documentation accuracy and product stability are unverified from public sources. Teams that need reliable uptime commitments or documented accuracy benchmarks before adopting a tool in a production workflow have no sourced baseline to evaluate against.	CRM writes follow a template, not a conditional rules engine — teams whose CRM workflows branch on deal stage, company size, or custom field values end up correcting every logged entry, which erodes the time savings the tool was bought to deliver. Processing is entirely post-call, so there is no mid-meeting assistance, live transcription for accessibility, or real-time coaching overlay — teams that need those capabilities switch to tools like Gong or Chorus, which are built around the live call experience. Cross-meeting AI reports are only as accurate as the transcription layer — calls with heavy accents, domain-specific jargon, or overlapping speakers produce transcription errors that compound when the AI aggregates across a large call library, forcing a manual QA step before reports go to leadership. No self-hosted option exists, which is an immediate disqualifier for teams in regulated industries that cannot send call audio or transcript data to a third-party cloud — those teams switch to on-premise alternatives regardless of feature fit.

Bottom line

SpokenAct and tl;dv are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Frequently asked questions

What is the difference between SpokenAct and tl;dv?

SpokenAct is Paid, while tl;dv is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is SpokenAct better than tl;dv?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.