nowfound

Growth · August 26, 2026

Photokeyworder.ai

Automated AI metadata generation for microstock creators

What it does

Photokeyworder is an AI-powered platform built for stock photographers. Generate accurate titles, descriptions and keywords for photos and videos, including multi-frame AI analysis for more accurate video metadata. Process up to 500 files in a batch, write metadata directly into your files, and export CSVs for Adobe Stock, Shutterstock, Blackbox and more. Photokeyworder also automatically performs iStock keyword disambiguation, ensuring keywords are assigned the correct meaning and relevance.

AI keywording tool for microstock photos, vectors and videos. Generate titles, descriptions and keywords — compatible with Shutterstock, Adobe Stock and iStock.

PhotoKeyworder.ai: The ultimate AI-powered service to generate accurate titles, descriptions, and keywords for your photos, videos, and vector images in seconds. Our advanced AI understands context, objects, actions, and concepts to generate highly relevant metadata. Upload and process up to 500 photos, vectors, or videos simultaneously. Save hours of manual work. Get metadata embedded directly into JPG, PNG, EPS files, plus standard & agency-specific CSVs (Adobe, Shutterstock, iStock). Automatically enhance smaller photos (under 4.9MP) to high-resolution quality, included for free! Tired of disambiguating keywords? Use our specialized iStock/Getty Images keywording tools for photos/images…from photokeyworder.ai

Does the same job

all alternatives →
  • Keyword Camera2023 · ▲130

    Turn your photos into title, description & keywords using AI

  • SendStock AI2025 · ▲142

    Instantly Generate Perfect Metadata for stock

  • Destocker.AI2024 · ▲102

    Transform your images with AI powered creativity

  • SEO Keyword Strategist2024 · ▲154

    AI-powered keyword insights for 10x SEO growth!

  • Generative AI by iStock2024 · ▲155

    Text-to-image platform designed to make stock photos

  • Rankify2024 · ▲168

    Instant AI SEO keyword research generator

More growth this month

the category →
  • ​​A pixel-art solar system at its real current positions.​

    Growth · 29d ago · astrapixels.com

  • Put your startup on the map. Literally.

    Growth · 13d ago · worldmap.lol

Launched alongside, August 2026

the whole month →
  • TL

    Life & fun · 10d ago · louisabraham.github.io

  • Hey Noah641

    A proactive AI executive assistant for founders

    AI · Aug 2026 · heynoah.io

  • Let agents source clips from terabytes of your local video

    Work · 18d ago · clipto.com

  • SA

    Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…

    Life & fun · Aug 2026 · toneyalexander.github.io

  • AdAnt AI608

    Claude for viral, high-converting social ads

    AI · Aug 2026 · adant.ai

  • I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.

    AI · 17d ago · simedw.com