Urlbox VS TranscriptFetch
Compare Urlbox VS TranscriptFetch and see what are their differences
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Urlbox
ScreenshotOne
ApiFlash
ScreenshotAPI.net
Screenshot Machine
URL2PNG
Stillio
HTMLCSS to Image API
TranscriptFetch
SocialFetch.dev
TranscriptAPI.com
TranscriptFetch is one API for getting text out of video and web content.
Send a URL from YouTube, TikTok, Instagram, X or Facebook and get back clean, timestamped text. Send any web page and get clean Markdown. One endpoint, one response shape, one API key.
Most short-form video has no caption track to download. TikTok's auto-captions are opt-in per upload, Instagram never publishes a downloadable track, and a large share of captions on both platforms are burned into the video frames where no parser can read them.
When there is no caption track, TranscriptFetch transcribes the audio instead. Same endpoint, same response, so your code never branches on which method produced the text.
text field for feeding a model or a search indexsegments array with per-cue start times and durations, so subtitles and jump-to-moment links are a formatting step rather than another integration100 free credits on signup, no card required. One credit per successful response. Failed, blocked and empty results are never charged, which matters on short-form video where a meaningful share of any batch is music with no speech in it.
Urlbox TranscriptFetchTranscriptFetch's answer:
Most short-form video has no caption track to download. TikTokโs auto-captions are opt-in per upload, Instagram never publishes a downloadable track, and many captions on both are burned into the video frames where no parser can read them. TranscriptFetch transcribes the audio when no caption track exists, on the same endpoint, with the same response shape. Your code never branches on which method produced the text. It also covers YouTube, TikTok, Instagram, X and Facebook plus any web page as clean Markdown, so a pipeline spanning several sources is one integration rather than five.
TranscriptFetch's answer:
Three reasons. Coverage: one API key and one response shape across five video platforms and the open web, instead of stitching together a library per platform. Reliability: requests run through rotating infrastructure, so code that works locally keeps working from a server, which is where most open-source approaches break. Billing that matches reality: one credit per successful response, with failed, blocked and empty results never charged. That last point matters on short-form video, where a meaningful share of any batch is music with no speech in it. There is also an MCP server, so AI agents can fetch transcripts as a tool without a custom integration.
TranscriptFetch's answer:
Developers and technical teams building on video and web content. The common cases are RAG and retrieval pipelines that need video as text, AI agents that need to read a link mid-conversation, content teams repurposing short-form video at scale, and media monitoring and research tools. It is an API first, so the buyer is usually the person writing the integration rather than an end user. The free browser tools exist for one-off transcripts and for evaluating output quality before writing any code.
TranscriptFetch's answer:
It started with discovering there is no good way to get the text of a video. YouTubeโs official Data API will confirm a caption track exists and then refuse to hand it over, because captions.download requires the video ownerโs OAuth token. The popular open-source libraries work until you deploy them, at which point platforms start refusing datacenter IPs. And YouTube is the easy case: TikTok and Instagram publish no caption file at all. Every workaround solved one platform, worked locally, and broke in production. TranscriptFetch is the version that handles the failure cases as first-class behaviour rather than edge cases.
TranscriptFetch's answer:
Next.js with TypeScript and Tailwind on the front end and API layer, Clerk for auth with SHA-256 hashed API keys, Neon Postgres with Drizzle ORM, Redis for caching, and Stripe for billing. The extraction layer is a Python and FastAPI service. Speech-to-text uses Whisper-class models. The MCP server is published in the official Model Context Protocol registry with a DNS-verified namespace.
Based on our record, Urlbox seems to be more popular. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Urlbox maintains an official MCP server (@urlbox/screenshot-mcp, a render Tool that returns PNG/PDF/MP4 plus HTML/metadata, env SECRET_KEY). Its differentiator is Forensic-grade output: cryptographic timestamps and hashes, change detection, and many formats. There's No free tier โ a 7-day trial and a $100/10K refund guarantee instead โ and entry pricing is $9.50/1,000 ($19/mo for 2,000). Best for: agents in... - Source: dev.to / 20 days ago
Picking a screenshot API feels binary until you start integrating, then the edges show: one service has a Python SDK but no async queue, another has webhooks but charges extra for authenticated pages, a third makes you wire up an S3 bucket yourself. This post walks through how Rendershot and Urlbox compare across the dimensions that actually hurt to change later. - Source: dev.to / 3 months ago
If youโre worried about the security risks, edge cases, maintenance pain and scaling challenges of self hosting there are various solid hosted alternatives: - https://browserless.io - low level browser control - https://scrapingbee.com - scraping specialists - https://urlbox.com - screenshot specialists* Theyโre all profitable and have been around for years so you can depend on the businesses and the tech. *... - Source: Hacker News / over 1 year ago
This is how I do it. I send the URLs I want scraped to Urlbox[0] it renders the pages saves HTML (and screenshot and metadata) to my S3 bucket[1]. I get a webhook[2] when it's ready for me to process. I prefer to use Ruby so Nokogiri[3] is the tool I use for scraping step. This has been particularly useful when I've want to scrape some pages live from a web app and don't want to manage running Puppeteer or... - Source: Hacker News / over 2 years ago
Hi there, I run urlbox.io, which is a screenshot API that allows clicking elements, waiting for elements, injecting custom JS/CSS etc. Source: over 3 years ago
ScreenshotOne - Fast and reliable screenshot API built to handle millions of screenshots a month.
SocialFetch.dev - Social media scraping API for public profiles, posts, comments, videos, transcripts, and metrics from TikTok, Instagram, YouTube, X, LinkedIn, and more. Pay-as-you-go credits, 100 free to start.
ApiFlash - ApiFlash is a powerful serverless screenshot API built with Chromium and AWS Lambda. It can easily scale to millions of screenshots per day and has an ever growing number of satisfied big clients.
TranscriptAPI.com - Get YouTube video transcripts with a simple API call or through Model Context Protocol. Fast, reliable, and easy to integrate into your applications.
ScreenshotAPI.net - Generate beautiful website screenshots using our fast website screenshot API.
Screenshot Machine - Screenshot machine is an online website capturing service. Creates a screenshot or thumbnail of any online web page in couple of seconds for free.