Video content extraction on Speak AI

Turn scraped video
の中へ text you can use.

Once you’ve scraped or downloaded video from a website, Speak AI turns the batch into transcripts, tagged themes, and structured data your team can search and act on. We build it with you.

★★★★★ G2で4.9 250,000以上のチーム 2018年以降
yourteam.speakai.co
00:13 / 07:08
PR
Priya R. 00:38
We scraped forty conference session videos off the vendor’s site last night. I need the top three themes by Monday.
PR
Priya R. 01:15
Pull every mention of pricing across the batch, and flag which sessions ran over 30 minutes.
Runs on the models and connects to the tools you already use
Claude チャットGPT Gemini ズーム チーム Meet スラック ザピア and hundreds more
95%+
転写精度
100+
サポートされている言語
100+
MCP tools for your AI
6
Ways to capture
Proof

The wins teams ship.

Time to a live product, hours saved per file, and dollars saved. Same platform, very different applications.

$100K+
節約 · 8 ヶ月高速化

Legal tech company builds a white-label deposition platform, 8 months faster.

Legal · White-label platform
$100K+
節約 · 983時間

Global research agency launches a white-label qualitative research platform.

Research · White-label platform
$700K+
saved · 5,100+ hours

Legal intelligence firm processes 5,100+ hours of carrier calls, 95% faster.

Legal · Intelligence at scale
$190K+
節約 · 10,000+ 時間

Healthcare consulting firm cut session processing from 8 hours to 0.3.

Healthcare · Consulting
$185K+
saved · 3,700+ hours

E-commerce manufacturer centralizes call review and cuts it by 85%.

E-Commerce · Manufacturing
96%
faster · 1,100+ hours

Recruiting firm cuts candidate report time from 5 hours to 10 minutes.

Recruiting · Reporting
The free consult

Bring scraped video. Leave with it transcribed.

A working session, not a sales pitch. No obligation.

Step 1

You bring real scraped video

A batch of webinar recordings, conference sessions, or competitor demos pulled from the web. Whatever is sitting unprocessed in a folder today.

Step 2

We map your fields

The themes, speakers, and data points that matter for your use case. Your words, your structure. Not a template.

Step 3

You see it transcribed, live

Your own scraped footage, transcribed and tagged on your criteria, with a rollout plan for the whole library.

One engine, every team

Video content extraction for every kind of team.

The same engine, pointed at the video your team scrapes, downloads, or collects.

Content & SEO

Content ops teams

Competitor and industry video turned into transcripts and themes, so content briefs start from real data instead of guesswork.

Competitive intel

競争インテリジェンス

Track what competitors say in webinars, demos, and conference talks scraped from their own sites, searchable across every session.

Media & publishing

Media & publishing

Conference and event video turned into articles, clips, and a searchable archive, at the scale a newsroom needs.

学術研究

学術研究

Public lecture and interview video scraped for a corpus, transcribed and coded against your research framework.

Legal & compliance

Legal & compliance

Publicly available video evidence transcribed and time-stamped into a defensible, searchable record.

代理店

Agencies & white label

Run video extraction and analysis for every client on a branded workspace, with exports and the API.

A different approach to scraping video from websites.

A website video scraper pulls video files or video URLs off a page: a scraping script, a browser extension, or a scraping service that copies what a page is serving instead of typing it out by hand. Marketers, researchers, and analysts reach for one when there is more video sitting on a site (a competitor’s webinar library, a conference archive, a partner’s resource hub) than anyone has time to watch. Speak AI is not a scraper. It is what you point at the video once you have it.

Why a scraped video library stalls

The scrape itself is usually the easy part. The stall happens after: forty MP4s or download links sitting in a folder, no transcript, no index, no way to search for who said what. Someone opens a handful of files, skims for the parts that matter, and gives up on the rest. Whatever insight was sitting in that library, pricing mentions, competitor claims, recurring themes, stays locked in files nobody has time to watch end to end.

Reading the footage, not just the audio track

Speak AI treats a batch of scraped video the way a research analyst would, at machine speed. Each file is transcribed in your language, with 100+ supported, and then the recording itself is analyzed: three layers, not one, the words that were said, the tone and energy behind them, and what is visible on screen. Speakers, timestamps, and recurring themes are extracted into structured fields your team can filter and export.

Then the questions start. Ask across the entire batch with AI chat, using the same prompt workflows teams once ran file by file, now running natively over the whole library with ChatGPT, Claude, and Gemini built in.

What teams ask their scraped video library

  • “Which sessions mention pricing, and what exactly did the speaker say?”
  • “Show me every video that name-drops a specific competitor.”
  • “Which sessions ran over 30 minutes, and what topics filled that extra time?”
  • “Summarize the recurring themes across all forty videos in one report.”
  • “Which speaker appears most often, and what do they usually cover?”

From a folder of files to a searchable archive

The result is a scraped video library that stops being a graveyard of files and starts being an archive you can query. Themes surface without a manual watch-through, quotes come back with timestamps attached, and dashboards you can customize and white-label track how those themes shift release over release, so this quarter’s conference sessions are measured against last quarter’s. One respected media brand put its scraped conference footage through this workflow and turned 500 hours of conference video into high-performing content, without watching it all by hand.

And because video rarely lives alone, the same engine scores calls, meetings, and recordings on the same criteria, connecting the archive to call scoring and the rest of your knowledge base through MCP.

Your fields, auto-extracted
ソース40 scraped URLs
Avg. duration38 min
センチメントポジティブ
Themes tagged6
Theme frequency across 40 scraped videos
Engineered with you

Engineered with you, accurate from day one.

A generic AI tool starts from zero. We shape the fields, themes, and prompts around the video your team scrapes and the questions you actually ask of it, then prime the application on your existing footage so it is useful from the first batch. You get structured data back, not just a transcript.

  • We design the context, fields, and scoring around your video workflow, not a template.
  • Your scraped or downloaded footage primes the 知識ベース before go-live.
  • Structured data on every video, queryable from Claude, ChatGPT, and Cursor through the MCP server.
MCP, API & integrations

Bring your applications into Claude, ChatGPT, and Cursor.

No terminal. No npm. No config. Speak AI's MCP server gives any assistant 100+ tools to search, analyze, and act on your knowledge base in about 60 seconds. It is the same layer your applications run on, wired into the hundreds of apps in your stack through an integrations layer and a full developer API.

100+
Tools across 10 categories
7+
AI assistants supported
60s
Setup, one URL
Claude
Ask across every recording, transcript, and field from inside Claude.
チャットGPT
Bring transcripts, themes, and structured data into ChatGPT.
Cursor
Pull conversation data straight into your dev environment.
MCP Server
100+ tools, one endpoint. Works with 7+ assistants and counting.
Your data lives in your Speak AI workspace, and you control what each assistant can access.
Built to stay flexible

One platform. Not one model.

A generic AI tool locks you to one model and one engine. Speak AI picks the right model, speech engine, and language for each task, file type, and team, so your applications are never locked to a single vendor.

Models

Multi-model

Claude, ChatGPT, and Gemini. Your choice per task, or bring your own key.

Speech

Multi-engine

Transcription routed across multiple engines for your audio, accents, and terms.

言語

100以上の言語

Transcribe and translate in and out, for global and multilingual teams.

統合

MCP, API & integrations

100+ MCP tools and an integrations layer that connects to hundreds of apps you already run.

★★★★★  G2で4.9

Teams build on Speak AI.

Real feedback from teams using Speak AI for research, transcription, meetings, and client work.

"「私たちは 数週間 定性分析の ある日. 使いやすく、導入も簡単で、サポートも素晴らしかったです。"
C
コナー H.
Data & Impact Analyst
★★★★★ Verified G2 review
「高い精度、多言語対応、優れた分析。Google と Zapier との統合により、すべてを簡単に合理化できます。」
V
フォルカー B.
最高執行責任者(中小企業向け)
★★★★★ Verified G2 review
「Speak AIを使用して フランス語と英語 最大2時間のミーティングに対応。時間を節約し、レポートの精度を高めてくれます。」
F
フランソワ L.
ファイナンシャルアドバイザー
★★★★★ Verified G2 review
"I used to spend 45 minutes transcribing notes. Now it is done in , and I am writing in minutes."
T
テッドH.
オーナー、小規模ビジネス
★★★★★ Verified G2 review
"Simple to use for meetings. Makes it easy to take minutes and turn them into a clean, shareable report."
N
ネイソン S.
Project Manager
★★★★★ Verified G2 review
"It is easy to use, and I can actually get in contact with the team behind the product. Valuable to speak to a 本物の人間."
M
マルクス B.
Medical Director
★★★★★ Verified G2 review

Questions we get

Your first scorecard runs on a real recording during the consult. Team rollout takes days, not months, because we build it with you and prime it on your existing recordings.

Pooled usage, not per-seat, with no volume minimums. Pilots are credited in full. We scope pricing for your exact workflow on the call.

Speak AI handles 100+ languages, including conversations that switch language mid-sentence, and can translate in and out.

Yes. White-label deployments run on your own domain with your logo, including client platforms agencies resell, plus branded iOS and Android apps.

Most teams use a scraping tool or script, built with Python, a browser extension, or a scraping service, to pull the video files or URLs off a page, respecting the site’s terms of use. Speak AI is not a scraper. Once you have the video, whether that is forty scraped URLs or a folder of downloads, Speak AI transcribes it, tags the themes, and turns the batch into a searchable archive.

It depends on the site’s terms of service, the data involved, and your jurisdiction, so we are not the right source for legal advice here. What we can tell you: once you have video you are authorized to use, Speak AI turns it into transcripts and structured insights. The judgment call on how it was collected belongs to you.

Yes, AI-assisted scraping tools exist for pulling data and video off websites. Speak AI picks up after that step. It does not crawl or scrape sites itself, but it transcribes, analyzes, and organizes any video you bring in, scraped, downloaded, or recorded.

Enterprise builds support BAAs, custom data processing agreements, SSO, and data residency options. We share security documentation on request and scope each build to your requirements.

From a folder of scraped video to a searchable archive.

Book a free consult, bring a batch of scraped or downloaded video, and watch it transcribed and tagged before the meeting ends. Consults include early access to new features, an extended trial, and implementation credits.

No obligation. · Prefer to explore on your own? スピークの無料体験