Textractify.com – Extract on-screen text from videos and photos with precision OCR
Most tools built around video right now are focused on audio transcription. That’s useful, but what about all the visual text that appears in a video or photo? Numbers on dashboards. Scores on a broadcast. Text overlays in tutorials. Subtitles baked into a recording. Spreadsheets on screen during a demo. These are often more valuable than the spoken words — and that’s where Textractify comes in.
Textractify is a SaaS app that specializes in visible on-screen OCR (Optical Character Recognition) for videos and photos. Instead of transcribing speech, it extracts the text you can actually see. The app is designed for people who need to turn visual information into structured, usable data quickly.
Here’s how it works and what makes it stand out:
Multiple Extraction Modes
Textractify isn’t just a one-click text dump. It gives you flexibility depending on your use case:
1. Frame-by-frame text dump
• Grab all detected text from each frame.
• Export into a simple text file.
• Useful when you just need raw text without worrying about formatting.
2. Clickable text block linking
• Click on a text block in one frame, and Textractify will track that same position across subsequent frames.
• Exports those results into one column in Excel/CSV.
• Perfect for pulling structured data like scores, counters, or dashboard readouts that appear in the same spot throughout a video.
3. Bounding box mode
• Draw a custom region on your video or image.
• Textractify will extract only the text inside that box across frames.
• Handy for isolating specific fields or numbers without noise.
With these modes, Textractify lets you go from “just text” to structured, field-based exports in a matter of minutes.
Why It’s Different
Most OCR tools are either:
• Static (extracting text from a single image), or
• Audio-focused (transcribing speech from videos).
Textractify bridges the gap by offering true video OCR for visible text — one of the few tools on the market doing this well. It’s designed not just to detect text, but to make it usable by linking, organizing, and exporting it in formats that actually matter (spreadsheets, CSVs, text files).
Use Cases
• Content creators & editors – Quickly grab captions, subtitles, or text overlays.
• Sports analysts – Pull scoreboards, timers, or stats that change frame to frame.
• Business analysts – Extract dashboard metrics from recorded demos or presentations.
• Researchers – Capture consistent data fields across long recordings.
• Developers & engineers – Automate structured data collection from video sources.
Basically, anywhere text shows up in a video, Textractify can turn it into data.
A Focus on Practicality
The design philosophy behind Textractify is simple: OCR should make data usable, not just visible. That’s why it’s not enough to just dump text — Textractify helps you structure it. The text block linking and bounding box features are built with real-world workflows in mind, so you can go straight from raw footage to a usable spreadsheet without endless manual copy/paste.
Textractify is live at textractify.com. You can upload your own videos or photos, test different modes, and see how quickly you can turn on-screen text into structured data.
If you’ve ever wished you could just grab the text you see in a video and drop it into Excel, Textractify is built for you.
