pre-commit by Yelp VS TranscriptFetch

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.

The part that actually matters

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.

What you get back

A joined text field for feeding a model or a search index
A segments array with per-cue start times and durations, so subtitles and jump-to-moment links are a formatting step rather than another integration
Consistent output whether the text came from captions or speech recognition

Built for pipelines and agents

MCP server so Claude, Cursor and other MCP clients can fetch transcripts as a tool mid-conversation
Python and JavaScript SDKs
Batch endpoint for up to 50 videos in a single call
Channel, playlist and keyword-search endpoints for ingesting at scale

Pricing

100 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.

Questions & Answers

As answered by people managing pre-commit by Yelp and TranscriptFetch.

What makes your product unique?

TranscriptFetch's answer:

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 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.

Why should a person choose your product over its competitors?

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.

How would you describe the primary audience of your product?

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.

What's the story behind your product?

TranscriptFetch's answer:

It started with discovering there is no good way to get the text of a video. YouTube’s official Data API will confirm a caption track exists and then refuse to hand it over, because captions.download requires the video owner’s 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.

Which are the primary technologies used for building your product?

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.

Social recommendations and mentions

Based on our record, pre-commit by Yelp seems to be more popular. It has been mentiond 173 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.

pre-commit by Yelp mentions (173)

Auto-Optimize Images in a Git Pre-Commit Hook (Local, No Upload)
.git/hooks isn't version-controlled, so a raw hook only protects your machine. To enforce it for everyone, use the pre-commit framework and commit the config:. - Source: dev.to / 16 days ago
AI coding agents: everyone harnesses the agent's loop. Here's the human's.
Execution and harnessed, productized enforcement for builds. This corner is real and mature: Husky, Lefthook, pre-commit, Trunk, GitHub branch protection, on top of the underlying primitives (git, Claude Code hooks, CI). These don't hope your code is clean. They refuse the commit, fail the build, block the merge until it is. Enforcement isn't exotic. It's a solved, shipping product category. - Source: dev.to / 18 days ago
Best DevSecOps Security Tools for CI/CD Pipeline Protection
Representative tools: Gitleaks and TruffleHog are the open-source workhorses. Run both through the pre-commit framework so secrets get caught before they ever hit the remote. - Source: dev.to / about 2 months ago
Stop Copying Your .pre-commit-config.yaml
Flexible: It works seamlessly with both pre-commit and prek. - Source: dev.to / about 2 months ago
Building an Image Factory
# See https://pre-commit.com for more information # See https://pre-commit.com/hooks.html for more hooks Repos: - repo: https://github.com/pre-commit/pre-commit-hooks rev: v5.0.0 hooks: - id: end-of-file-fixer - id: check-merge-conflict - id: trailing-whitespace args: [--markdown-linebreak-ext=md] - id: check-shebang-scripts-are-executable # YAML - id:... - Source: dev.to / 3 months ago

TranscriptFetch mentions (0)

We have not tracked any mentions of TranscriptFetch yet. Tracking of TranscriptFetch recommendations started around Aug 2026.

What are some alternatives?

When comparing pre-commit by Yelp and TranscriptFetch, you can also consider the following products

EditorConfig - EditorConfig is a file format and collection of text editor plugins for maintaining consistent coding styles between different editors and IDEs.

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.

Python Poetry - Python packaging and dependency manager.

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.

mypy - Mypy is an experimental optional static type checker for Python that aims to combine the benefits of dynamic (or "duck") typing and static typing.

Semgrep - Semgrep is a fast, open-source, static analysis tool for finding bugs and enforcing code standards at editor, commit, and CI time.

Compare pre-commit by Yelp VS TranscriptFetch and see what are their differences