Convert Videos to Structured Notes

Name: VidFoil
Author: VidFoil

✨ AI perfectly extracts hardcoded subtitles — no missed, zero typos. From 1-hour video to Markdown in 20 minutes ⚡

100% Free No Login Required 3x Faster Zero Missed Zero Typos YouTube Supported

Supported formats: MP4, MKV, AVI, MOV, WEBM. Max: 2 hours / 2GB

Video Language

Auto

AI Translate

Original

Turn Video into Transcript and Markdown Notes

Extract Hardcoded Subtitles with Vision AI

Perfectly reconstructs hardcoded subtitles from videos — no background clutter. Zero typos, zero missed lines — the extracted text is identical to what you see on screen, freeing you from painful manual proofreading.

Transcript That Reads Like an Article

VidFoil's AI turns your video into a clean, readable transcript — with proper punctuation, complete sentences, and well-organized paragraphs. Ready to read straight through.

Video to Markdown Notes in One Click

Generate structured notes with summaries, headings, and outlines, ready for Obsidian, Markdown, or any personal knowledge base.

1h video → 20 min

50+ languages

As Seen on Screen

Video to Markdown Output Example

03:05

Original Video Frame (Hardcoded Subtitles)

# Understanding Large Language Models: Definition, Mechanics, and Business Applications

## Summary
**Key Points**
This document provides a comprehensive overview of Large Language Models (LLMs), defining them as **foundation models** trained on massive datasets.

It explains the core mechanics involving **transformer architecture** and iterative training to predict sequences, and outlines significant **business applications** in customer service, content creation, and software development. The content emphasizes the **enormous scale** of data and parameters involved, such as GPT-3's 175 billion parameters.

**Outline**
* **Introduction**
* **What is an LLM?**:
* **Business Applications**
* **Conclusion**

---

## Introduction
GPT or generative pre trained transformer is a large language model or an LLM that can generate human like text. And I've been using GPT in its various forms for years

In this video, we will address three key questions: first, what is a Large Language Model (LLM)? Second, how do they work? And third, what are the business applications of LLMs? Let's start with the definition.

## What is an LLM?
Large language models are machine learning models that are capable of generating natural human language.

In the past, we've had machine learning models that could understand language. So you could take something like sentiment analysis or text classification, and the machine learning model could look at text and it could understand what was happening. But it couldn't generate text that made sense to humans.

In 2017, everything changed when a paper titled "Attention is All You Need" was published, which introduced the transformer architecture.

## How Do They Work?
At their core, LLMs work by predicting the next word in a sequence. When you give the model a prompt, it breaks the text into "tokens" (words or parts of words) and calculates the probability of what token should follow, based on patterns it learned during training.

## Business Applications
While the technology behind LLMs is fascinating, their real value lies in how they can be applied to solve business problems. Today, companies are using LLMs across several key areas:

* **Customer Service**: Businesses can use LLMs to create intelligent chatbots capable of handling a wide variety of customer queries, freeing up human agents to focus on more complex issues.
* **Content Creation**: This field benefits significantly from LLMs, which can help generate articles, emails, social media posts, and even YouTube video scripts.
* **Software Development**: LLMs contribute by assisting in the generation and review of code.

> "This list only scratches the surface; as large language models continue to evolve, we are bound to discover even more innovative applications."

That is why I am so enamored with this technology. If you have any questions, please drop us a line below. And if you want to see more videos like this in the future, please like and subscribe. Thanks for watching.

VidFoil Output (Structured Markdown)

Who Uses a Video to Notes Converter?

Subtitle Translators

Precisely extract hardcoded subtitles for perfect translation drafts.

Content Creators

Extract high-quality video copies to accelerate secondary creation.

Language Learners

Extract precise transcripts for intensive study, never missing a single sentence.

Students

Turn online courses into instant notes and review 10x faster.

Knowledge Managers

Import video knowledge directly into Obsidian with zero missed sentences.

Academic Researchers

Fully transcribe lecture videos with zero errors on complex sentences and technical terminologies.

Video to Notes Methods Compared: VidFoil vs ASR and OCR

Swipe horizontally to compare

	VidFoil	ASR Tools	Traditional OCR	Manual Notes
Hard Subtitle Reading
Zero Missed Frames
Background Text Filtering
Technical Terminology
Structured Markdown
Processing Speed	About 20 min / 1h video	FastProne to typos, high error rate in long videos	Slow	~4h / 1h video

FAQ

Frequently Asked Questions

Have another question? Contact us at support@vidfoil.app

Is VidFoil really free?

Yes. Registration includes a one-time 1,200-credit free trial with up to 2 hours of subtitle extraction. No credit card is required and there is no automatic renewal.

Is there a file size or duration limit?

The free trial includes 1,200 one-time credits and supports videos up to 1 hour / 1 GB each. Paid accounts (credit packs or subscriptions) support videos up to 2 hours / 2 GB.

How is my data used and protected?

Your privacy is our top priority. Videos are processed on secure servers and are automatically deleted 24 hours after conversion. We do not view, share, or train our models on your content.

What is 'hardcoded subtitle' recognition?

Hardcoded subtitles are part of the video image itself. Standard tools struggle with them. VidFoil uses next-generation AI to perfectly understand and extract this text, ensuring you get an identical transcript of what you see on screen.

How do credits work?

Hardcoded subtitle extraction costs 10 credits per video minute. Generating a transcript from video costs 15 credits per minute, and Markdown costs 20. The one-time free trial includes 1,200 credits; Standard includes 18,000 credits per month and Pro includes 60,000. Subscription credits reset monthly, while free-trial and credit-pack credits never expire.

Does VidFoil support YouTube?

Yes. Just paste a YouTube URL. If the video has soft subtitles, it will be processed faster and cost fewer credits. Because this capability depends on third-party technologies and upstream policies, occasional instability may occur. We continuously work to keep it available, but cannot guarantee uninterrupted availability at all times.

Are all video subtitle types guaranteed to convert perfectly?

For standard static subtitles (e.g., YouTube auto-generated captions, movie subtitles), VidFoil delivers high-accuracy conversion. However, the following special effect subtitles may affect recognition quality: words highlighting one by one, subtitles frequently changing positions on screen, and subtitles with complex animations or effects. If your video contains such effects, we recommend testing with your free credits first. Our 'Zero Missed' promise means the AI reads the video continuously rather than sampling at fixed intervals, so no subtitle is skipped or overlooked.

Do Free, Plus, and Pro use the same AI?

Yes. Free, Plus, and Pro use the same high-accuracy AI engine. The differences are monthly quota, processing priority, and paid-plan features.

Can I process videos without subtitles?

Yes. If the video has no visible subtitles, VidFoil will automatically switch to audio recognition to extract content. However, audio recognition may produce typos or inaccurate punctuation, and the results won't match the accuracy of hardcoded subtitle recognition. VidFoil works best with videos that have visible subtitles.

Can VidFoil recognize PPT slides, code, or formulas in videos?

The current version focuses on extracting subtitle text from videos. Visual elements like charts, handwritten formulas, and diagrams are not extracted as text — for such content, screenshots are generally more useful than text extraction. We plan to support documents with key frame screenshots in a future update, so you won't miss any visual information.

What does the Markdown output include?

The output document includes: a content summary, auto-generated chapter headings, and the complete subtitle text with key terms bolded. It's standard Markdown format, ready to import into Obsidian or any Markdown-compatible note app.

Will I lose credits if processing fails?

If the failure is due to video format issues or an internal system error, no credits are deducted. If the AI engine has already started processing (resources consumed), credits will be charged as normal. You can resubmit failed videos to try again, or contact us via the support email for assistance.

What languages are supported? Is quality the same for all?

VidFoil supports 50+ languages. Major languages like English, Chinese, Japanese, Korean, French, German, and Spanish deliver the best results. Other languages are supported but accuracy may vary depending on font style and visual complexity. We recommend testing with your free credits first.