Building an AI Tool to Remove Text, Subtitles, and Watermarks from Videos

textremover — Mon, 01 Jun 2026 07:50:37 +0000

Recently, I have been working on a small AI SaaS product called AI Remover.

The idea is simple: many creators, marketers, and small teams often have videos or images that contain unwanted text, subtitles, captions, or watermark-like overlays. Instead of manually editing frame by frame, I wanted to build an online tool that makes this workflow easier.

The project is now available here:

👉 https://airemover.org

What AI Remover does

AI Remover is designed to help users remove unwanted text from videos and images online.

Current use cases include:

Remove text from video
Remove subtitles from video
Remove captions from video
Remove watermark-like overlays from video
Remove text from image

The goal is not just to create another upload button. I wanted the product to feel like a real workflow: upload a file, let AI process it, preview the result, and download a cleaner version.

Why I built it

While working on AI video tools, I noticed that many users do not search for general “AI video editing” tools.

They search for very specific problems, such as:

“remove text from video”
“remove subtitles from video”
“remove captions from video”
“remove watermark from video”
“remove text from image”

This made me realize that small, problem-focused AI tools may have better search intent than broad AI platforms.

Instead of building a huge all-in-one editor first, I decided to focus on one clear pain point: removing unwanted text from visual content.

Product challenges

Building this kind of tool is harder than it looks.

The difficult parts are not only about the AI model. The real product challenges include:

Different types of text

Text inside a video can appear in many forms:

burned-in subtitles
social media captions
stickers
product labels
watermark-like overlays
image text
moving text across frames

A simple “remove this area” feature is not enough. The tool needs to understand where the unwanted text is and reconstruct the background naturally.

Processing time

Video processing can be slow, especially when the file is long or high resolution.

For a web product, speed matters a lot. If users upload a short video and wait too long, they may leave before seeing the result.

So one of my ongoing goals is to improve processing speed and make the waiting experience more transparent.

Result quality

Users do not only want the text to disappear.

They want the background to look natural after the text is removed.

This is especially difficult when the text is placed over faces, moving objects, complex backgrounds, or detailed scenes.

UX and trust

For AI tools, users need to trust the result quickly.

That means the homepage, upload flow, examples, pricing, and before/after previews all matter. A technically working product is not enough if users do not understand what it can do within a few seconds.

Tech stack

The project is built as a modern web application.

The current stack includes:

Next.js
Tailwind CSS
Cloudflare
Vercel
AI video/image processing APIs
Analytics tools for tracking user behavior and conversion

I am also paying close attention to SEO, because this type of tool depends heavily on search intent.

What I learned

A few things I learned while building this product:

Narrow tools can be powerful

A focused tool that solves one painful problem can sometimes be easier to explain than a large platform with many features.

“Remove text from video” is much clearer than “AI video editing platform”.

SEO affects product design

When building an SEO-driven SaaS, the product structure is not only about UI.

Routes, landing pages, examples, headings, and feature names all matter.

For example, pages like “remove subtitles from video” and “remove captions from video” may look similar, but users searching for them may have different intent.

AI quality is only one part of the product

Even if the AI model works, users still care about:

upload experience
processing speed
preview clarity
pricing
free trial
trust signals
before/after examples

A good AI SaaS product is a combination of model quality, UX, positioning, and distribution.

What’s next

I am continuing to improve AI Remover in several areas:

better video text removal quality
faster processing
better before/after examples
clearer pricing
more specific landing pages for different use cases
better support for creators and marketers

This is still an early-stage product, but it has already taught me a lot about building practical AI tools for real user problems.

If you are interested, you can try it here:

👉 https://airemover.org

I would also love to hear feedback from other developers and indie hackers building AI tools.

How to Remove Text from Video with AI (Free Online Tool)

textremover — Sun, 08 Mar 2026 14:58:55 +0000

If you want to try an AI tool to remove subtitles or text from videos, you can try:

https://removetextfromvideo.com

DEV Community: textremover

Building an AI Tool to Remove Text, Subtitles, and Watermarks from Videos

How to Remove Text from Video with AI (Free Online Tool)