Speak review

Speak is conversation intelligence and transcription software for teams that need more than a transcript. It captures meetings, calls, interviews, field conversations and uploaded recordings in a searchable library, then transcribes and analyzes them. The product description lists speaker identification and support for more than 100 languages.

The analysis is designed to be customized: teams can score conversations against their own methodology and extract fields, themes, sentiment and other structured data. Speak also offers live and post-call AI agents for tasks such as intake, qualification, scoring and routing. For organizations building a client-facing service, it supports branded applications and custom domains.

That makes Speak closer to a configurable conversation-data platform than a basic meeting recorder. The practical question is whether you’ll use the analysis, scoring or custom-app features. If you only need occasional transcripts, those capabilities may be more than you need.

Speak’s strongest fit is teams that want a repeatable way to evaluate conversations, not just store recordings. The product description says teams can apply their own scoring methodology, extract structured information and turn call results into coaching. That flexibility matters when a generic meeting summary doesn’t match how your team qualifies leads, conducts research or handles intake.

The available workflow covers recordings, transcription and analysis in one library. Speak lists support for 100+ languages, speaker identification, AI agents and integrations including API, MCP, CLI, webhooks, Zapier and embeds on its Pay as You Go plan. Enterprise adds custom fields, scoring, agents, white-labeling and custom domains, according to the pricing details.

Pro is priced at $25 per user monthly or $20 per user monthly when billed annually, and supports up to five users. The listed allowance is 25 credits per user per month, described as about 25 hours of standard transcription, plus 10 GB of storage per seat. A seven-day free trial is listed, but there is no free plan. For a small team that will use the analysis and scoring features, Pro gives a published entry point before a custom Enterprise quote.

Speak’s pricing needs a closer look if your usage is uneven. Pay as You Go has no subscription, but transcription and AI features consume credits. The pricing details list standard transcription at 2 credits per hour, premium-language transcription at 3 credits per hour and meeting transcription at 4 credits per hour. Top-ups cost $1 per credit, with a 10-credit minimum. Translation is 12 credits per 100,000 characters; AI chat is about 0.08 credits per chat. Those rates make occasional use possible, but the bill depends on what you process.

Pro is capped at five users, 25 credits per user each month and 10 GB of storage per seat. Teams needing more seats or white-label apps and custom domains are directed to Enterprise, whose price is not published. That makes the cost of a larger rollout hard to compare upfront. The pricing details also don’t establish whether every advanced workflow is included in Pro. If you just want a few transcripts, Speak’s scoring, agents and custom-app options may add complexity without much value.

Speak has no free plan, but the pricing details list a 7-day trial. Pay as You Go has no subscription fee; you buy credits as needed, with a $10 minimum top-up. Credits cost $1 each. Transcription uses 2 credits per hour for standard languages, 3 for premium languages, and 4 for meeting transcription, so costs vary with the audio and use case.

Pro costs $25 per user monthly or $20 per user per month when billed annually ($240 per user per year). It includes up to five users, 25 credits per user monthly, about 25 hours of standard transcription per user, and 10 GB of storage per seat. The move from Pay as You Go to Pro trades usage-based spending for a recurring per-seat bill; additional transcription may still use credits.

Enterprise pricing is custom, not published. It includes unlimited seats, white-label features, custom domains, and volume transcription rates. Other listed charges include 12 credits per 100,000 translation characters and about 0.08 credits per AI chat.

The published material does not document a migration tool, supported import formats, or data-export options. Before moving a library of recordings, confirm what can be imported and exported, including transcripts, speaker labels, and analysis results. Those details matter if you need to preserve past work or move it to another system.

Switching to Speak also means defining how your team scores calls and structures extracted data: the product supports custom methodologies, fields, and agents, but the source does not describe an automatic way to transfer those setups from another platform. A practical migration plan should inventory your current criteria and test them on a small set of conversations before expanding use.

We can’t substantiate what makes users leave based on Reddit: no Reddit posts or comments were included in the published material. Speak’s own published limits point to likely decision points, not verified reasons for leaving: usage-based costs can vary, and Enterprise pricing is custom. Confirm billing and export terms before committing.