Concept visualization on Speak AI

Turn your concept
into visuals you can share.

Speak AI turns the concepts inside your interviews, feedback, and notes into word clouds, theme maps, and dashboards, so you can visualize a concept the moment you need to, not days later. We build it with you.

★★★★★ G2 上获得 4.9 分 300,000+ teams 自2018年以来
yourteam.speakai.co
00:13 / 07:08
PN
Priya N. 00:38
We keep saying “friction” in every review, but nobody can picture what it actually looks like across accounts.
PN
Priya N. 01:15
Word cloud shows onboarding, error, retry as the loudest cluster this month.
运行在现有模型上,并连接到您已在使用的工具
Claude ChatGPT Gemini 放大 团队 Meet 松弛 Zapier 及更多内容
95%+
转录准确性
100+
支持的语言
100+
适用于您的 AI 的 MCP 工具
6
捕获方式
证明

团队交付的成果

产品上线时间、每个文件节省的时间和成本。同一平台,应用场景截然不同。

$100K+
节省 · 快 8 个月

法律科技公司打造白标尽证平台,快速交付 8 个月。

法律 · 白标平台
$100K+
已节省 · 983 小时

全球研究机构推出白标定性研究平台。

研究 · 白标平台
$700K+
节省 · 5,100+ 小时

法律智能公司处理 5,100+ 小时运营商通话记录,处理速度快 95%。

法律 · 大规模智能
$190K+
节省 · 10,000+ 小时

医疗咨询公司将会议处理时间从 8 小时缩短至 0.3 小时。

医疗保健 · 咨询
$185K+
节省 · 3,700+ 小时

电商制造商集中进行通话审核,降低成本 85%。

电子商务 · 制造业
96%
更快 · 1,100+ 小时

招聘公司将候选人报告生成时间从 5 小时缩短至 10 分钟。

招聘 · 报告
免费咨询

Bring one concept. Leave with it visualized.

一个工作会议,而不是销售宣传。无任何约束。

第 1 步

You bring real source material

Customer interviews, survey responses, research notes, or a concept brief. Whatever your team reads through by hand today.

第 2 步

我们映射您的主题

The categories in your coding framework, your brand pillars, or your research questions. Your words, your structure. Not a template.

第 3 步

You see it visualized, live

Your own material, clustered and mapped into a word cloud or dashboard, with a rollout plan for the whole team.

一个引擎,适用于每个团队

Concept visualization for every kind of team.

The same clustering and mapping engine, pointed at the concepts your team actually works with.

营销

Campaign concept testing

Turn open-ended survey and ad-response text into a theme map, so you can see which concept actually lands before you spend on it.

研究

Interview & focus group themes

Every transcript clustered into recurring themes automatically, instead of a researcher reading and coding each one by hand.

客户体验

CX concept mapping

Support tickets and reviews turned into a word cloud of what customers actually mean by “slow” or “confusing.”

产品

Product concept validation

User interviews mapped into themes before a build starts, so the team designs against real language, not assumptions.

内容 & SEO

Content concept clusters

Cluster keyword and query data into concept groups you can brief writers against, visualized as a shareable map.

Academia & business analysis

Academic concept mapping

Qualitative data coded into concepts and visualized for a thesis, report, or stakeholder deck, with the sourcing intact.

A different approach to visualizing concepts.

Visualizing a concept means turning something abstract, an idea, a theme, a pattern in how people talk, into a form you can see: a word cloud, a cluster map, a chart that tracks it over time. Researchers, marketers, and product teams have done this for years to make sense of interviews, open-ended survey responses, and customer feedback, and to explain findings to people who were not in the room.

Why concept visuals stall

For most teams the process breaks down before it starts. Interviews and notes pile up in a shared folder nobody opens twice. Someone reads through 40 transcripts, pulls a handful of quotes, and builds a slide by hand. The next round of research repeats the exercise from scratch, because nothing from the last one was structured well enough to reuse. By the time a concept map exists, the concept it describes has already moved on.

Reading the concept, not just the words

Speak AI treats every interview, note, or recording as raw material for a concept map, not just a transcript to file away. Each source is read on three layers: the words themselves, the tone, emotion, and energy behind them if it was spoken, and the visual shape those words take once they are clustered. Ask Speak AI to visualize your concept and it pulls the language, weights it by how often and how strongly it comes up, and returns a word cloud or theme map you can customize and white-label as your own dashboard.

Ask across your entire concept library with AI chat, running natively over your recordings and documents with ChatGPT, Claude, and Gemini built in, and query the same structured data straight from your own tools through the MCP server.

What teams ask their concept data

  • “Show the core themes in this concept as a word cloud.”
  • “Which words and phrases come up most when people describe this idea?”
  • “Chart how often this concept has come up over the last six months.”
  • “Compare how two customer segments talk about the same concept.”
  • “Turn this concept into a dashboard I can share with the team.”

From a folder of notes to a map you can show

The result is a concept that stops living only in someone’s head. Themes surface on their own instead of waiting for someone to reread 40 transcripts. Trends across months of interviews or tickets become a chart instead of a guess, and 可自定义和白标的仪表板 track how a concept’s language shifts over time, so this quarter’s map is measured against last quarter’s. One legal intelligence firm ran this at scale, turning 5,100+ hours of calls into structured concept data that saved $700K+无需增加人力。

And because concepts rarely live in one file, the same engine scores calls, meetings, and interviews on the same criteria, connecting your concept maps to 通话评分 和 辅导 覆盖您团队的每一次对话

您的字段,自动提取
主要主题入职摩擦
Concept typeWord cloud + map
情绪混合
Map score8.4 / 10
Concept frequency across 38 sources
与您一起设计

与您共同打造,从第一天起精确无误

A generic AI tool starts from zero. We shape the themes, clusters, and visuals around how your team already talks about the concept: your vocabulary, your segments, your categories. Then we prime the application on your existing interviews and documents so the first map is already useful. You get a concept map you can act on, not just a chart.

  • We design the themes, clusters, and 评分 around how your team already talks about this concept, not a generic template.
  • Your historical interviews, notes, and documents prime the 知识库 before your first map ships.
  • Structured concept data on every source, queryable from Claude, ChatGPT, and Cursor through the MCP server.
统一捕获

为您团队所有言论提供一个记录系统。

面对面和虚拟会议,集中在一处。无需将会议工具、语音录音机和其他三个应用程序拼凑在一起。Speak AI 将所有内容捕获到一个可搜索的知识库中,您的应用程序就是在此基础上构建的。

会议助理
自动加入 Zoom、Microsoft Teams、Google Meet 和 Webex。
可嵌入式录音机
将品牌化录制工具集成到任何网站、门户或信息采集表单中。
iOS & Android 应用
在现场、移动中、任何会议地点进行录制。提供白标版本。
上传、电话和语音代理
拖入音频或视频、转录入站呼叫,或让代理运行对话。
Meeting Bot
虚拟
录音机
现场
移动应用
字段
嵌入
网络
上传
文件
语音代理
通话
一个 Speak AI 库
已转录、已结构化、可搜索、可共享
灵活性强

一个平台。不是一个模型。

通用 AI 工具将你锁定在一个模型和一个引擎。Speak AI 为每个任务、文件类型和团队选择正确的模型、语音引擎和语言,因此你的应用程序永远不会被锁定到单一供应商。

Models

Multi-model

Claude、ChatGPT 和 Gemini。按任务选择,或使用自己的密钥。

Speech

多引擎

转录内容跨多个引擎路由,适配您的音频、口音和专业术语。

语言

100多种语言

转录和翻译多种语言,服务全球和多语言团队。

集成

MCP、API & 集成

100+ MCP 工具和一个集成层,连接到您已运行的数百个应用程序。

★★★★★  G2 上获得 4.9 分

团队基于 Speak AI 构建。

来自使用 Speak AI 进行研究、转录、会议和客户工作的团队的真实反馈。

"我们从 周 定性分析的 一天. "易于使用,易于实施,而且技术支持非常棒。”
C
康纳·H.
数据 & 影响分析师
★★★★★ 已验证的 G2 评价
“高准确度、多语言支持和深入分析。与 Google 和 Zapier 的集成可轻松简化一切。”
V
沃尔克·B.
小型企业首席运营官
★★★★★ 已验证的 G2 评价
"I use Speak AI in 法语和英语 会议时长不超过两小时。这样既节省时间,又提高了报告的准确性。"
F
弗朗索瓦·L.
财务顾问
★★★★★ 已验证的 G2 评价
“我过去需要花 45 分钟来转录笔记。现在只需要 秒,我可以在几分钟内完成写作。”
T
泰德·H.
小型企业主
★★★★★ 已验证的 G2 评价
“用于会议非常简单。轻松做会议记录并将其转化为干净、可共享的报告。”
N
奈森·S.
项目经理
★★★★★ 已验证的 G2 评价
“使用非常简便,我确实能够联系到产品背后的团队。能够与他们沟通非常有价值。” 真人."
M
马库斯·B.
医学主任
★★★★★ 已验证的 G2 评价

常见问题

您的第一张记分卡在咨询期间在真实录音上运行。团队推出需要几天而不是几个月,因为我们与您一起构建并使用您现有的录音进行初始化。

汇总使用量,而非按座位,没有最低交易量。试点获得全额抵免。我们根据您在电话中的确切工作流程确定定价范围。

Speak AI 处理100多种语言,包括中途切换语言的对话,并可以进行翻译。

是的。白标部署在您自己的域上运行,带有您的徽标,包括代理商转售的客户端平台,加上品牌 iOS 和 Android 应用程序。

Gather the source material, interviews, notes, survey responses, or a recording, and let Speak AI cluster the language into themes. From there you generate a word cloud, a theme-frequency chart, or a full dashboard from those clusters, no design tool required.

Speak AI's word cloud generator and text analysis tools are available on a free plan with usage limits. Paid plans raise the volume, unlock white-label dashboards, and add the MCP server for querying your concept data from Claude, ChatGPT, or Cursor.

Capture the raw language people actually use around your idea first, in interviews, feedback, or notes, then let Speak AI turn that language into a concept map. The map reflects real wording, not a designer's guess at what the idea means.

It means turning information that is hard to hold in your head, like a theme spread across 40 interviews, into a form you can see at a glance: a word cloud, a chart, or a map. Speak AI builds that view directly from your transcripts and notes.

企业构建支持 BAA、自定义数据处理协议、SSO 和数据驻留选项。我们根据要求共享安全文档,并根据您的需求确定每个构建的范围。

From a folder of notes to a concept you can show.

Book a free consult, bring real interviews, feedback, or research notes, and watch them turned into a word cloud or concept map before the meeting ends. Consults include early access to new features, an extended trial, and implementation credits.

无任何约束。· 更喜欢自己探索? 免费试用