How To ACCURATELY Transcribe YouTube Videos To Text (QUICK & EASY)

Video Marketing Masterminds
8 Feb 202206:56

TLDRThis tutorial video guides viewers on how to transcribe YouTube videos into text quickly and accurately. The presenter demonstrates using YouTube's automatic transcription feature, editing the generated subtitles, and utilizing tools like Rev for automated transcription with 80% accuracy. The video also covers how to refine the transcription by removing filler words and ensuring keywords are included for better search engine optimization. Finally, it shows how to upload the edited subtitles back to YouTube and repurpose the transcription for blog posts, making content creation more efficient.


  • 😀 The video provides a method to transcribe YouTube videos into text accurately and efficiently.
  • 🔍 Start by selecting the YouTube video you wish to transcribe from your content.
  • 👀 Check the video details for automatic subtitles provided by YouTube, but be aware they might not be 100% accurate.
  • ✂️ You can manually edit the transcriptions by duplicating and making adjustments to the text.
  • 📋 For a quicker method, download the automatic subtitles as an SRT file and edit it as needed.
  • 🛠️ The presenter recommends using a tool called 'Rev' for transcription, which offers both automated and human transcription services.
  • 💰 Automated transcription on Rev is cheaper, costing $1.25 per minute with about 80% accuracy, which can be improved with minor tweaks.
  • 🔗 To use Rev, place a new order, paste the video URL, and select automated transcription to get a cost estimate.
  • 📝 After receiving the transcription, review and adjust it to ensure accuracy, removing filler words and verifying keywords.
  • 🔍 The transcription should be structured well for easy reading and to help with SEO for the video on YouTube and Google.
  • 📚 The transcription can also be used for creating blog posts, by downloading the text and making minor adjustments.
  • 📈 The video concludes with instructions on how to upload the final transcription back to YouTube as subtitles or use it for other purposes like blog content.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is demonstrating the best way to transcribe YouTube videos to text accurately and efficiently.

  • How does YouTube's automatic transcription feature compare to manual transcription?

    -YouTube's automatic transcription feature is not 100% accurate, and it requires manual adjustments to ensure the transcribed text is correct.

  • What are the two different approaches the video presenter suggests for transcribing videos?

    -The presenter suggests two approaches: one for those who are extremely busy and prefer a quicker method with less accuracy, and another for those who have more time and want to manually go through and set everything up for higher accuracy.

  • What tool does the presenter use for automated transcription?

    -The presenter uses a tool called Rev for automated transcription.

  • How much does it cost to get a five-minute video transcribed by a human on Rev?

    -It costs $1.25 per minute for a human transcription on Rev, which would amount to approximately $6.25 for a five-minute video.

  • What is the accuracy rate of the automated transcription on Rev?

    -The automated transcription on Rev offers an accuracy rate of about 80%.

  • How does the presenter suggest using the transcribed text for a blog post?

    -The presenter suggests copying the transcribed text, making a few tweaks, and then using it directly for a blog post, linking it back to the video.

  • What is the process for uploading the transcribed text back to YouTube as subtitles?

    -After downloading the transcribed text as an SRT file, you go back to YouTube, click on 'Subtitles', 'Add', and then upload the file with timing.

  • How can the transcribed text be used for SEO purposes?

    -The presenter suggests ensuring that keywords are properly included in the transcription so that YouTube and Google can understand the video's content, which can help the video rank higher in search results.

  • What feature of the AI system does the presenter use to remove filler words?

    -The presenter uses the feature that allows clicking on the three dots to find and remove filler words from the AI system.

  • What is the presenter's preferred method for transcribing videos?

    -The presenter's preferred method is using the automated transcription service on Rev, followed by making minor tweaks to the text for accuracy.

  • How does the presenter ensure the transcribed text is properly structured?

    -The presenter checks the structure of the transcribed text and makes adjustments as needed, ensuring that the text is separated properly and that it accurately reflects what was said in the video.



🎥 Transcribing YouTube Videos to Text

The speaker introduces a method to transcribe YouTube videos into text with high accuracy. They guide the viewer through selecting a video and navigating to its details to find the 'Subtitles' section. They explain that YouTube provides automatic transcriptions but these are not always perfect. Two different approaches are mentioned: one for those who are busy and another for those with more time to manually edit the transcriptions. The speaker demonstrates how to duplicate and edit the automatic transcriptions, and suggests copying and pasting the text into a notepad for further editing. They also recommend using a tool called 'Rev' for an automated transcription service, which is cost-effective and requires minimal tweaking.


📝 Editing and Uploading Transcribed Text to YouTube

The speaker continues by detailing the process of editing the transcribed text using an AI system, emphasizing the ease of removing filler words and ensuring keywords are correctly included to optimize video ranking on YouTube and Google. They then explain how to upload the edited transcription back to YouTube as subtitles, demonstrating the steps from downloading the SRT file to publishing the updated subtitles. Additionally, they showcase how the transcribed text can be repurposed for blog posts, describing the process of downloading the text in a Word document format, making necessary tweaks, and then using it for blog content, which they illustrate with an example of a blog post linked to a YouTube video.




Transcribe refers to the process of converting spoken language into written text. In the context of the video, it is about turning the audio from a YouTube video into a text format. The script mentions that YouTube provides an automatic transcription feature, but it may not be 100% accurate, hence the need for adjustments.


Subtitles are textual representations of the dialogue or commentary in a video. They are especially useful for viewers who are deaf or hard of hearing, or for those watching videos in a different language. The video script explains how to access and edit subtitles on YouTube to improve the accuracy of the transcribed text.


Accuracy in this video refers to the precision of the transcribed text in relation to the spoken words in the video. The script emphasizes the importance of ensuring that the transcription is as accurate as possible, either by manually editing the YouTube-generated subtitles or by using a transcription service like Rev.


Rev is a transcription service mentioned in the video that offers both automated and human transcriptions. The automated option provides a cost-effective way to transcribe videos with a high degree of accuracy, which can then be fine-tuned with minimal adjustments.


Automation in the context of the video refers to using technology to perform tasks with minimal human intervention. Specifically, it is about using Rev's automated transcription service to convert video audio into text, which is faster and less labor-intensive than manual transcription.


Fillers are words or phrases that are used in speech but do not add meaning to the conversation. They include words like 'um', 'uh', and 'like'. The video script explains how to remove these filler words from the transcription to clean up the text and make it more readable.


Keywords are significant words or phrases that define the main topic or subject of a video. In the script, it is mentioned that ensuring keywords are properly included in the transcription helps YouTube and Google understand the video's content, which can improve search rankings.

💡SRT File

An SRT file is a SubRip subtitle file, which is a standard format for video subtitles. The video script describes how to download an SRT file from YouTube and edit it to correct and finalize the transcription before uploading it back to the platform.

💡Blog Post

A blog post is an individual article or entry on a blog. The video script provides an example of how transcriptions can be repurposed to create blog posts, by using the transcribed text from Rev and making minor adjustments to fit the blog format.


To publish in this context means to make the video and its subtitles available to the public on YouTube. The script details the steps to upload the edited SRT file as subtitles and then publish them, making the video accessible with accurate text for viewers.


Transcribe YouTube videos to text accurately using YouTube's built-in subtitle feature.

YouTube's automatic transcription may not be 100% accurate, requiring manual adjustments.

Duplicate and edit the automatic transcriptions to improve accuracy.

Use keyboard shortcuts (Control+A, Control+C for PC; Command+A, Command+C for Mac) to copy transcriptions.

Paste transcriptions into a text editor like Notepad for further editing.

Consider time constraints and the need for accuracy when choosing a transcription method.

Edit the transcriptions directly in YouTube for minor adjustments.

Download the subtitles as an SRT file for detailed editing.

Use Rev's automated transcription service for a cost-effective transcription solution.

Rev offers 80% accuracy at a lower cost compared to human transcription.

Upload the video link to Rev for automated transcription.

Rev's transcription service is priced at $1.25 per minute for human transcription.

Automated transcription from Rev can be quickly reviewed and tweaked for accuracy.

Remove filler words and ensure keywords are present for better search engine optimization.

Use the transcriptions to create blog posts by tweaking and linking them to the video.

Download the transcriptions as an SRT file and convert it to a Word document for blog posts.

Upload the edited SRT file back to YouTube as subtitles for accessibility.

Publish the video with the updated subtitles to make it accessible to a wider audience.

Engage viewers by asking for feedback and addressing any additional questions in the comments.