Transcript Extractor

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Turn video URLs into readable transcripts with speaker labels and timestamps. Get a structured table plus key video metadata for faster review and analysis.
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Extract Structured Data from VideosUse Thunderbit to scrape pages, follow subpages, and extract structured fields fast. Export results to Sheets, Airtable, or Notion in a few clicks.
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Extract Structured Data from Videos

Collect video pages, related subpages, and even linked PDFs, docs, and images, then extract structured fields into a table using Thunderbit’s AI Suggest Fields and Scrape workflow. Clean up results with AI-powered summarizing, categorizing, and formatting so your dataset is ready to use. Export your extracted data to Google Sheets, Airtable, or Notion, or download as CSV or JSON. Use pagination and subpage scraping to scale research, content audits, and competitive tracking without writing code.

How to Extract Transcripts Using Thunderbit

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STEP 1Download and InstallDownload and install the Thunderbit Chrome Extension from the Thunderbit Chrome Extension Download Page. Once installed, log in or create a free account to get started.
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STEP 2Open ExtensionOpen a new Chrome tab, then open the Thunderbit Chrome Extension. In the Transcript Extractor, go to the "Enter a Video URL" tab and paste a public video link into the "video_url" field (for example, a YouTube or Vimeo URL). Confirm the URL is accessible without a login so Thunderbit can read the video page and prepare the output table, including fields like Video Title, Video URL, Video Length, and Transcript.
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STEP 3Click the Extract transcript ButtonClick the "Extract transcript" button to start processing. Thunderbit will analyze the video page and return a structured table that includes metadata (Video Title, Video URL, Video Length, Video Description, Date Posted, Number of Likes, Number of Views, Number of Comments) plus the full Transcript. When the results load, export the table to Excel, Google Sheets, Airtable, or Notion, or download it as CSV or JSON.

Learn how to extract video transcripts and metadata from public video URLs

Transcribe spoken audio into readable text

Transcript Extractor takes a public video URL and converts the spoken audio into a clean, readable transcript. It helps teams avoid manual note-taking and makes long videos searchable for key topics, quotes, and action items. Built for content creators, researchers, and business users, it supports diverse dialects and technical terminology so the transcript stays close to what was actually said.
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Identify speakers and add time-stamped structure

For meetings, interviews, podcasts, and panels, Transcript Extractor uses speaker diarization to distinguish different voices and adds precise time-stamping to the transcript. This makes it easier to attribute quotes, review specific moments, and create clips or summaries with accurate references. The structured output reduces ambiguity when multiple people talk and improves the reliability of downstream analysis.
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Capture video context in a structured table

Alongside the transcript, the tool outputs a table with key video details: Video Title, Video URL, Video Length, Video Description, Date Posted, and engagement metrics like likes, views, and comments. This is useful for tracking content performance while keeping the full transcript attached to each record. Teams can compare multiple videos, filter by date or engagement, and keep research organized.
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Turn transcripts into workflows for content, research, and operations

Use Transcript Extractor to draft blog posts and show notes from videos, build searchable interview archives, or document customer calls and internal trainings. Marketing teams can pull quotes and themes across a set of videos, researchers can code transcripts for qualitative analysis, and business teams can store transcripts with video metadata for reporting. The table format also supports easy handoff to spreadsheets and databases.
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What users say about Thunderbit

Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.

Frequently Asked Questions

Extract Data using AI
Easily transfer data to Google Sheets, Airtable, or Notion
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PRODUCT HUNT#1 Product of the Week