Convert Video to Text: The Complete Guide

Converting a video — or straight-up an audio — to text is useful for far more than YouTube: a recording of a meeting, a class or lecture, a WhatsApp voice note, a video exported from your phone, a podcast, or a clip from another platform. This guide is generic and source-agnostic: it helps you identify your case and pick the right method, wherever the material comes from. (If your video is specifically from YouTube, there's a dedicated guide below.)

What convert a video to text for?

Having the text of a video or audio opens up uses the video alone doesn't allow:

• Study and notes: turn a class or a recorded lecture into a document you can read, highlight, and summarize much faster than by watching the video again.
• Meeting minutes: transform the recording of a meeting or interview into written minutes, with what was said and who said it, without taking notes by hand.
• Accessibility: the text lets people with hearing difficulties follow the content, and serves as a basis for generating subtitles.
• SEO and indexing: a video's text is crawlable by search engines and by your own internal search; a talk or a podcast becomes findable by keyword.
• Translation and reuse: once in text, the content is easily translated, quoted, or reworked into an article.

Which sources you can get text from

The method changes a bit depending on where the material comes from, but the idea is the same: turning speech into text.

• Your own files: a video or audio you recorded that has never been published (meetings, voice notes, memos).
• Classes and lectures: long recordings where the spoken content matters more than the image.
• Podcasts: audio or video episodes you want to be able to read or search by text.
• Other platforms: videos that don't expose downloadable captions and from which you can only get text through speech recognition.

Two ways to get text from a video

• The video already has subtitles or closed captions: in this case, getting the text is simple, free, and instant — just extract those captions and strip the timestamps. This is the most common case on YouTube, where most videos have manual or auto-generated (CC) captions.
• The video has no captions at all: a recording of your own, a video from another platform with no CC, a video podcast with no transcript. Here there's no text to extract: you need a speech recognition (ASR) tool that listens to the audio and generates the text from scratch, like OpenAI's Whisper or services such as Otter.ai or Descript.

These two methods aren't interchangeable. The first is instant because the text already exists somewhere; the second requires an AI engine to "listen" to the entire audio, takes longer, and can make recognition errors, especially with strong accents or low-quality audio.

Is it from YouTube? Use the dedicated guide

YouTube is a special, easier case: most of its videos already have captions (manual or automatic), so getting the text is instant and no speech recognition is needed. Since it has its own steps and accuracy tips, we cover it separately: if your video is from YouTube, go straight to how to transcribe a YouTube video. The rest of this guide focuses on everything else — files, meetings, voice notes, and other sources without captions.

Converting videos and audios without captions

When the video has no captions available — a meeting recording, a video exported from your phone, content from a platform that doesn't expose downloadable captions — the only way to get text is with a real speech-recognition tool. PullVid doesn't offer this service: it's a different task from extracting existing captions. Tools built for this case include Whisper (OpenAI's open-source model) and online services like Otter.ai, Descript, or Sonix, which process the video's audio and generate a brand-new transcript.

Tips for a good result

• If the video is on YouTube, check first whether it already has captions: you'll save time and avoid recognition errors.
• With speech-recognition tools, clean audio with little background noise greatly improves accuracy.
• Always check auto-generated text before using it for anything important: proper nouns and technical terms are the most likely to trip it up.
• For very long videos, process them in chunks if the tool you're using has a duration limit.

A trick for speech-recognition tools that work better with audio: if your material is a published video and you only need the voice, first extract the audio from the video as MP3 and feed that file to the transcription engine. And remember: if it turns out your video is from YouTube after all, the fast route is transcribing a YouTube video, which uses the captions that already exist.