# Speak AI

> Speak AI is a conversation capture and analysis platform that transcribes calls, meetings, roleplays, and uploaded media in more than 100 languages, then scores them against custom methodologies and extracts themes, sentiment, tone, keywords, and structured fields into coaching notes, CRM updates, and reports; it is sold self-serve either pay-as-you-go at $2.00 per hour of transcription with no subscription, or on a $20 per user per month Pro plan that includes roughly 25 hours of credits per user.

- Category: Conversation Intelligence (https://saastracker.org/categories/conversation-intelligence)
- Website: https://speakai.co
- Starting price: $0 monthly with $2.00 per hour transcription (Pay as you go), or $20 per user per month (Pro)
- Free plan: No perpetual free plan, but the Pay as you go tier has no monthly fee and charges only for usage, which functions similarly for very low volume.
- Free trial: 7 days, no credit card required, including 30 minutes of transcription access
- Founded: 2019, HQ: Toronto, Ontario, Canada, Ownership: Privately held, independent
- Profile last reviewed: 2026-08-22
- Canonical profile: https://saastracker.org/products/speak-ai

## Overview

Speak AI is the flexible one in this category, and its flexibility is the reason to look at it and the reason it can feel unfocused. It started in 2019 as a qualitative research tool, built by Tyler Bryden and Vatsal Shah to help researchers analyse interview recordings, and it has grown outward into sales call scoring, compliance review, candidate assessment, and white-label delivery for consultancies. The thread running through all of it is the same: take recorded human conversation, turn it into structured data, and let the customer define what structure means.

That last part is what earns it a place here. Rather than shipping a fixed sales scorecard, Speak AI lets you score calls, meetings, and roleplays against your own methodology, and extract whatever custom fields you specify. If your qualification framework is not MEDDICC or BANT but something your team invented, most tools in this category will not accommodate it and Speak AI will. The analysis set on top is broad: thematic analysis, sentiment tracking, keyword and phrase detection, voice and tone analysis covering confidence, pace, and emotion, and on higher tiers video analysis of body language and screen content.

The pricing model is the other differentiator, and it is genuinely small-business friendly in a way per-seat pricing is not. Pay-as-you-go costs nothing monthly and charges $2.00 per hour of standard transcription, $3.00 for premium languages, $4.00 for meeting transcription, and roughly $0.08 per AI chat. Pro at $20 per user per month, or $240 a year, covers up to five team members with 25 credits per user per month, which is about 25 hours of transcription, plus 10GB of storage each and unlimited data retention. A team analysing ten hours a month pays twenty dollars on the metered plan rather than committing seats.

The caution is scale and shape. This is a small company serving a very wide range of use cases, the Pro plan caps at five team members before you are into Enterprise, and none of it is built around a sales manager's daily workflow the way a purpose-built revenue tool is. There is no deal board, no pipeline risk, no CRM field write-back beyond what you wire through Zapier or the API. Treat Speak AI as a highly configurable analysis engine with a usable interface, not as a coaching platform with an opinion.

## How it works

1. Conversations enter through whichever route suits you. A meeting assistant joins Zoom, Microsoft Teams, Google Meet, and Webex calls, embeddable recorders capture sessions inside your own site or workflow, and files can simply be uploaded, which is how research interviews, podcasts, and archived recordings get analysed alongside live meetings.

2. Transcription runs across more than 100 languages with a stated accuracy above 95 percent, with premium languages and meeting transcription priced higher than standard file transcription. Speaker identification runs through the transcript, which is the prerequisite for any per-person metric you build on top.

3. Analysis is where the configuration happens. You define the methodology or rubric you want conversations scored against, and the custom fields you want extracted, and Speak AI applies them consistently across every recording rather than to the handful somebody has time to review. Alongside the custom layer, standard analysis covers thematic clustering, sentiment tracking, keyword and phrase extraction, entity recognition, and tone analysis covering confidence, pace, and emotional register.

4. Output flows outward rather than staying in a library. Scored results become coaching notes, CRM updates, reports, or contracts, and delivery runs through Zapier to several thousand applications, through the API, or through MCP connections so that Claude, ChatGPT, and Gemini can query the conversation data directly rather than requiring copy and paste.

## Best for

Small teams that need conversations scored against a rubric nobody else supports, research and consulting practices analysing interview recordings, and any company whose call volume is low or spiky enough that paying per hour beats committing to seats.

## Not the right fit for

- Sales managers wanting an opinionated coaching product out of the box; Speak AI supplies the engine and expects you to define the methodology, which is powerful and slower to value than a tool with a built-in scorecard.
- Teams needing deal boards, pipeline risk scoring, or forecasting, none of which exist here in any form.
- Anyone who needs deep native CRM field write-back; CRM updates happen through Zapier, the API, or manual export rather than through a maintained Salesforce or HubSpot integration with field mapping.
- Teams above five people who want the Pro plan, since Pro caps at five team members and beyond that you are into custom Enterprise pricing with no published rate.
- Buyers who want a large, deeply funded vendor; Speak AI is a small independent company serving an unusually wide range of use cases, which is a real concentration risk if it becomes core to your process.

## Features

### Capture

More entry points than any per-seat competitor, which is what makes the metered pricing usable.

- **Meeting assistant**: Joins Zoom, Microsoft Teams, Google Meet, and Webex calls to capture the conversation automatically, billed at the higher meeting transcription rate of $4.00 per hour on pay-as-you-go.
- **File upload**: Audio and video files are uploaded directly at $2.00 per hour standard, which is how research interviews, archived recordings, and calls captured elsewhere get analysed without any integration work.
- **Embeddable recorders**: Recorders can be embedded in your own site or workflow, so a consultancy or research practice can collect conversations under its own branding.
- **More than 100 languages**: Transcription across 100-plus languages with a stated accuracy above 95 percent, with premium languages billed at $3.00 per hour rather than $2.00.
- **Speaker identification**: Attribution of who said what through the transcript, without which none of the per-person analysis downstream is possible.
- **Roleplay capture**: Practice sessions are treated as first-class recordings and can be scored against the same methodology as live calls, which is unusual and lets rehearsal and reality be measured on one scale.

### Custom scoring and extraction

The reason to choose Speak AI over a tool with a fixed rubric.

- **Scoring against custom methodologies**: Calls, meetings, and roleplays are graded against a framework you define rather than against a vendor's built-in scorecard, which matters when your qualification model is not one of the standard four.
- **Custom field extraction**: Specify the structured fields you want pulled from every conversation, such as budget mentioned, objection raised, or competitor named, and get them consistently across the archive.
- **Coaching note generation**: Scored output is turned into coaching notes rather than left as a number, which is the difference between a metric and a conversation with a rep.
- **Automated CRM update drafting**: Conversation output can be shaped into CRM updates, though delivery runs through Zapier or the API rather than a native maintained connector.
- **Contract and document generation**: Structured output can feed downstream documents, a workflow that reflects the platform's consulting and services customer base.

### Conversation analysis

A broad standard analysis set, with tone and video work that few competitors offer.

- **Thematic analysis**: Recurring themes clustered across many conversations rather than summarized one at a time, which is the research heritage showing through and is genuinely useful for win-loss work.
- **Sentiment tracking**: Sentiment measured across a conversation and across a set of conversations, so a cooling relationship shows as a trend rather than an anecdote.
- **Keyword and phrase extraction**: Detection of the terms that matter to you, the substrate for competitor tracking and objection frequency reporting.
- **Entity recognition**: Names, organizations, amounts, and dates extracted as structured data rather than left buried in the transcript.
- **Voice and tone analysis**: Confidence, pace, and emotional register measured from the audio itself, which is closer to delivery coaching than most conversation intelligence tools attempt.
- **Video and body language analysis**: Facial expression, body language, and screen content analysis on Enterprise configurations, a capability essentially unique on this list.
- **Multi-model AI chat**: Query your conversation data conversationally using Claude, Gemini, or GPT models, billed from roughly $0.08 per chat on the pay-as-you-go plan.

### Delivery, integrations, and administration

Broad connectivity through Zapier and MCP rather than deep native CRM work.

- **Zapier with several thousand applications**: The main integration route, which covers almost anything but means the connection is yours to build and maintain rather than the vendor's.
- **MCP tool connections**: More than 100 MCP tools plus direct connections for Claude, ChatGPT, and Gemini, so conversation data is readable by AI assistants without export.
- **Full API**: Programmatic access to capture and analysis, which is what makes the white-label and embedded use cases viable.
- **Slack delivery**: Analysis output posts into channels so results reach the team without anybody opening the platform.
- **Storage and retention on Pro**: 10GB of storage per user with unlimited data retention on the $20 Pro plan, which is a friendlier retention story than the history caps common on free and entry tiers elsewhere.
- **Team size limits**: Pro covers up to five team members; beyond that you move to custom Enterprise pricing with white-label deployment, custom AI agents, and volume transcription rates.

## Use cases

- **Sales team with a homegrown qualification framework**: The team qualifies on a five-point model it invented, and every conversation intelligence tool evaluated insists on scoring against MEDDICC, BANT, or its own opinion of a good call. Outcome: Custom methodology scoring applies the team's actual framework to every call, and custom field extraction pulls the specific data points the framework depends on into structured form.
- **Research or consulting practice**: Forty customer interviews need synthesizing, and doing it manually is two weeks of listening and a spreadsheet nobody trusts. Outcome: Uploaded recordings are transcribed at $2.00 an hour, thematic analysis clusters what came up across the whole set, and the output is delivered under the consultancy's own branding through embeddable recorders and white-label configuration.
- **Small team with low or spiky call volume**: Fifteen hours of calls in a busy month and three in a quiet one, which makes committing to per-seat licenses across five people look absurd. Outcome: Pay-as-you-go charges only for what was actually analysed, so the quiet month costs six dollars and nobody is paying for empty seats, or Pro at $20 covers a small team with 25 hours of credits each.
- **Enablement lead measuring rehearsal against reality**: Reps practise in roleplays and perform differently on live calls, and the two are scored by different tools on different scales so the comparison is meaningless. Outcome: Roleplays and real calls are scored against the same custom methodology in the same system, so a rep's practice score and live score are actually comparable.

## Pricing

Dual model: usage-based pay-as-you-go priced per hour of transcription with no subscription, or a $20 per user per month Pro plan including monthly credits, plus custom Enterprise pricing.

- **Pay as you go**: $0 per month plus usage. $2.00 per hour standard transcription; $3.00 per hour premium languages; $4.00 per hour meeting transcription; $12.00 per 100,000 characters translation; AI chat from roughly $0.08 per chat. Card required after the trial; the right choice for low or spiky volume.
- **Pro**: $20 per user per month, or $240 per user per year. Up to 5 team members; 25 credits per user per month, roughly 25 hours of standard transcription; 10GB storage per user; Unlimited data retention; Team collaboration features.
- **Enterprise**: Custom quoted. White-label deployment; Custom AI agents; Volume transcription rates; Video and body language analysis; Dedicated account manager.

Billing notes:

- The per-hour rate varies by capture route: uploaded files are $2.00, premium languages $3.00, and meeting-assistant capture $4.00, so how the conversation reaches the platform changes what it costs.
- Pro credits work out at roughly 25 hours per user per month, which at pay-as-you-go rates would be $50, so Pro is genuinely cheaper for anyone using more than about ten hours a month.
- Pro caps at five team members; growing past that means an Enterprise conversation with no published price, which is the main scaling cliff to plan around.
- Unlimited data retention on Pro is unusual in a category where history limits are a standard pricing lever, and it means the archive does not silently age out.
- AI chat and translation are billed separately from transcription, so heavy interrogation of the archive adds cost that per-seat competitors would include.
- There is no meaningful free tier, only a 7-day trial with 30 minutes of transcription, so evaluation is short and small.

Value assessment: Speak AI is exceptional value for low-volume and irregular use, where paying $2 an hour beats paying for seats that sit idle, and it is the cheapest way to get calls scored against a rubric you invented rather than one a vendor imposed. Pro at $20 a seat with 25 hours of credits and unlimited retention is competitive against anything on this list. The value degrades as you grow: the five-member cap on Pro forces an unpriced Enterprise conversation, the meeting-assistant capture rate is double the file rate, and the absence of native CRM write-back means somebody maintains Zapier plumbing forever. Best value for a small analysis-heavy team, weaker value for a scaling sales floor.

## Strengths

- Custom methodology scoring and custom field extraction, so conversations are graded against your framework rather than a vendor's fixed scorecard.
- Usage pricing at $2.00 per hour with no subscription, which is the only sensible model for teams with low, spiky, or seasonal conversation volume.
- More than 100 languages with stated accuracy above 95 percent, far broader coverage than most per-seat conversation intelligence tools offer.
- Thematic analysis inherited from the research origins, which is genuinely better than most sales tools at answering what came up across forty conversations rather than one.
- Voice and tone analysis covering confidence, pace, and emotion, plus video and body language analysis on Enterprise, capabilities essentially unique on this list.
- MCP connections plus a full API and Zapier coverage, so conversation data is readable by Claude, ChatGPT, and Gemini and routable almost anywhere.
- Unlimited data retention on the $20 Pro plan, in a category where history caps are a standard way to force upgrades.

## Limitations

- No opinionated sales coaching workflow; you get an analysis engine and must define the methodology yourself, which is slower to value than a tool with a built-in scorecard.
- No deal board, no pipeline risk scoring, and no forecasting, so revenue intelligence stays wherever it already lives.
- CRM updates run through Zapier or the API rather than a maintained native connector with field mapping, which means ongoing plumbing you own.
- Pro caps at five team members, so a growing team hits an unpriced Enterprise conversation earlier than the $20 headline suggests.
- Meeting-assistant capture costs double the file upload rate on pay-as-you-go, which quietly penalizes the most convenient capture route.
- A small independent vendor serving an unusually wide set of use cases, from sales to research to recruiting to legal, which raises the risk that no single use case gets deep investment.
- The 7-day trial with 30 minutes of transcription is a thin evaluation for a product whose value depends on analysing a real body of conversations.

## Comparisons

- **Speak AI vs Grain**: Grain is the purpose-built sales coaching product, with recording, a shared library, AI coaching, and CRM sync at around $29 a seat plus free viewer licenses. Speak AI is a configurable analysis engine that scores against any rubric you write and charges by the hour instead of the seat. Take Grain if you want a coaching workflow that works out of the box; take Speak AI if your methodology is unusual or your volume is too irregular to justify seats.
- **Speak AI vs Insight7**: The closest comparison on this list. Both analyse recorded conversations for QA and coaching outside the standard sales-rep frame. Insight7 is more structured, with call scoring, live assist, roleplays, and a mobile app, but starts at $99 a month for one user and 50 analyses. Speak AI is cheaper at low volume, far stronger on languages and thematic analysis, and weaker on live guidance. Choose Insight7 for a support or services QA program; choose Speak AI for research-flavoured analysis and custom rubrics.
- **Speak AI vs Yoodli**: Yoodli is a dedicated rehearsal product with polished roleplay and delivery metrics from $8 a month, and it sees no real calls. Speak AI scores roleplays and real calls against the same methodology, which makes practice and performance comparable, but its roleplay experience is not a match for a purpose-built one. Use Yoodli for the practice experience; use Speak AI when you need both sides measured on one scale.
- **Speak AI vs AssemblyAI**: AssemblyAI is the raw API at $0.15 an hour with no interface at all. Speak AI is roughly thirteen times the price per hour and gives you an actual application: capture, storage, custom scoring, thematic analysis, and delivery. If you have engineers, AssemblyAI plus your own code is cheaper; if you do not, Speak AI is what you would have built and the premium is fair.
- **Speak AI vs Avoma**: Avoma is the complete sales meeting platform with scorecards, trackers, dialer capture, and a revenue intelligence module from $19 a seat plus add-ons. Speak AI has none of the pipeline layer and no dialer capture, but scores against arbitrary methodologies, handles 100-plus languages, and can be paid for by the hour. Avoma for a sales team with a standard motion; Speak AI for analysis that does not fit the standard shape.

## Implementation

- Setup time: Under an hour for uploads and analysis; a little longer to connect the meeting assistant to your calendar and conferencing tools. Defining a custom scoring methodology is the real work and should be treated as a half-day exercise rather than a setting.
- Learning curve: Moderate. The breadth is the difficulty: because the platform serves sales, research, recruiting, and compliance simultaneously, a new user has to decide which parts of it they are actually using before the interface makes sense.
- Onboarding: Fully self-serve at app.speakai.co with a 7-day trial and 30 minutes of transcription. White-label deployment, custom agents, and video analysis are Enterprise arrangements involving the vendor.
- Migration: Because file upload is a first-class capture route rather than an afterthought, migrating a historical archive is genuinely practical: export recordings from your previous vendor and process them at $2.00 an hour. That is a real advantage over per-seat tools that only analyse calls they captured themselves.

## Platform, API & security

- Platforms: Web app, Zoom, Microsoft Teams, Google Meet, Webex, Embeddable recorders, REST API
- API: A full API for capture and analysis, plus MCP connections to more than 100 tools and direct integration with Claude, ChatGPT, and Gemini, which makes embedded and white-label deployments viable.
- Compliance: GDPR, Compliance-oriented workflows for healthcare and legal customers
- Data residency: Not published as a self-serve selectable option; enterprise arrangements are handled directly.
- SSO: Not published as a distinct plan feature on self-serve tiers; enterprise identity arrangements are custom.
- Security notes: Unlimited data retention on the Pro plan with 10GB of storage per user. The vendor markets compliance-ready workflows for healthcare and legal customers, so buyers in regulated sectors should confirm the specific certifications and agreements in writing rather than assuming them. Recording consent and two-party consent obligations remain with the customer, and the meeting assistant's presence in a call is the usual disclosure signal.

## Support

- Channels: Email support at success@speakai.co, Phone support, Dedicated account manager on Enterprise
- Documentation: Product documentation and guides on speakai.co covering capture routes, analysis configuration, integrations, and the API.
- Community: A substantial content and tutorial library aimed at researchers and analysts, plus a strong G2 review presence.

## Company

- Founded: 2019
- Founders: Tyler Bryden, Vatsal Shah
- Headquarters: Toronto, Ontario, Canada
- Ownership: Privately held, independent
- Employees: Small team, headcount not disclosed
- Funding: No large disclosed venture rounds; the company reports serving over 250,000 teams and has grown primarily on revenue rather than external financing.

Timeline:

- 2019: Founded by Tyler Bryden and Vatsal Shah as a qualitative research analysis tool for turning interview recordings into structured insight.
- 2021: Adds thematic analysis, sentiment tracking, and keyword extraction, expanding from transcription into analysis across large sets of conversations.
- 2022: Ships the meeting assistant for Zoom, Microsoft Teams, Google Meet, and Webex, moving from uploaded files into live conversation capture.
- 2023: Introduces custom field extraction and scoring against user-defined methodologies, opening the sales call scoring use case.
- 2024: Adds voice and tone analysis covering confidence, pace, and emotion, plus video and body language analysis on enterprise configurations.
- 2026: Publishes dual pricing with a no-subscription pay-as-you-go tier at $2.00 per hour alongside a $20 per user Pro plan, and adds MCP connections for Claude, ChatGPT, and Gemini.

## Integrations

Zoom, Microsoft Teams, Google Meet, Webex, Slack, Zapier with several thousand applications, Claude, ChatGPT, and Gemini via MCP, More than 100 MCP tools, Full REST API and embeddable recorders

## FAQ

### What is Speak AI?

Speak AI is a conversation capture and analysis platform. It transcribes calls, meetings, roleplays, and uploaded audio or video in more than 100 languages, then scores them against methodologies you define and extracts themes, sentiment, tone, keywords, and custom structured fields, turning the results into coaching notes, CRM updates, and reports.

### How much does Speak AI cost?

Two models. Pay as you go has no monthly fee and charges $2.00 per hour of standard transcription, $3.00 for premium languages, $4.00 for meeting transcription, and roughly $0.08 per AI chat. Pro is $20 per user per month or $240 a year, covering up to five team members with 25 credits per user per month, 10GB of storage each, and unlimited data retention. Enterprise is custom.

### Is the seat price per recorded user or per team member?

On Pro it is per team member, capped at five, with credits allocated per user. On Pay as you go there are no seats at all, only hours consumed, which is why low-volume teams frequently find the metered plan cheaper than any per-seat competitor.

### Can Speak AI score calls against my own sales methodology?

Yes, and this is its main differentiator. Rather than imposing MEDDICC, BANT, or a fixed vendor scorecard, Speak AI scores calls, meetings, and roleplays against a methodology you define, and extracts custom fields you specify. The tradeoff is that you have to do the work of defining it, which is slower to value than a tool with an opinionated scorecard built in.

### Does Speak AI write back to my CRM?

Not through a maintained native connector with field mapping. It can generate CRM updates from conversation content, but delivery runs through Zapier, the API, or manual export. If automatic CRM hygiene is your primary reason for buying, Avoma, Sybill, or Spiky handle it more directly.

### How does Speak AI handle recording consent?

Through the usual mechanisms rather than a dedicated compliance workflow: the meeting assistant is visible in the participant list when it joins a call, and uploaded files are assumed to have been captured lawfully by you. Two-party consent obligations remain entirely with the customer. Buyers in healthcare or legal should confirm the specific compliance arrangements in writing rather than relying on marketing language.

### What analysis does it perform beyond transcription?

Thematic analysis clustering what came up across many conversations, sentiment tracking, keyword and phrase extraction, entity recognition, voice and tone analysis covering confidence, pace, and emotion, and on Enterprise configurations video analysis of body language, facial expression, and screen content. Multi-model AI chat lets you interrogate the archive using Claude, Gemini, or GPT.

### Can I analyse recordings I already have from another tool?

Yes, and this is one of the practical advantages. File upload is a first-class capture route at $2.00 per hour, so migrating a historical archive from a previous vendor is genuinely feasible rather than being impossible as it is with per-seat tools that only analyse calls they captured themselves.

### What happens when my team grows past five people?

The Pro plan caps at five team members, so you move to custom Enterprise pricing with no published rate. That is the main scaling cliff to plan around, and it means the friendly $20 headline is a small-team price rather than a growth-path price.

### Is there a free plan?

No perpetual free plan, only a 7-day trial with 30 minutes of transcription and no credit card required. The Pay as you go tier is the closest equivalent, since it carries no monthly fee and bills only for usage, so a very low-volume user pays only a few dollars a month.

### Who is behind Speak AI?

It was founded in 2019 by Tyler Bryden and Vatsal Shah and is based in Toronto. It has grown without a large disclosed venture round and reports serving more than 250,000 teams across sales, research, healthcare, legal, recruiting, and consulting. That breadth is both its appeal and its risk: no single use case gets the focused investment a purpose-built vendor would give it.

## Editorial verdict

Speak AI is the most configurable analysis engine on this list and the only one that will score your calls against a methodology you invented rather than one a vendor decided you should use. The pay-as-you-go model at $2.00 an hour is the right structure for teams whose conversation volume is low or unpredictable, file upload makes migrating an existing archive practical, the language coverage beats every per-seat competitor here, and the thematic analysis inherited from its research origins genuinely outperforms sales tools at answering what forty customers said. What it does not give you is an opinion. There is no built-in coaching workflow, no deal board, no native CRM write-back, and the Pro plan caps at five people before an unpriced Enterprise conversation. Buy it as a flexible analysis layer for a small analysis-heavy team, not as a sales coaching platform for a growing floor.

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Source: SaaSTracker (https://saastracker.org), an independent editorial project. This profile is compiled from public information, carries no peer reviews or paid placement, and was last reviewed 2026-08-22. Awards are judged on published criteria: https://saastracker.org/methodology