TOOLS

An in-progress list of clickable AI resources & tools to play with – more coming soon!

💡General Creative AI / Multimodal

🎬 Video Generation, Editing & Post-Production

  • Sora (OpenAI) – access via ChatGPT
  • Runway
  • Pika Labs
  • Luma & Luma Dream Machine
  • Kling AI
  • LTX Studio
  • Synthesia
  • Topaz Labs
  • FinerCut
  • Google Veo & Flow
  • 3D AI Studio
  • Hailuo AI
  • Koyal AI
  • Heygen
  • Kapwing (collaborative online video editor with AI assist)
  • Visla (AI video creation/editing with team workspaces; good for team-based storytelling)
  • InVideo AI (text-to-video generator; script/prompt → video with voice & visuals)
  • MovieFlo.ai (AI-first filmmaking workflow; concept → script → storyboard → video)
  • Melies (AI filmmaking suite explicitly framed around cinematic storytelling)
  • Electric Sheep (“agentic” AI video editor / VFX workstation)
  • Arcana / Arcana Motion (AI production studio for cinematic content)
  • PixVerse (popular text/image-to-video generator; short clips, strong for music/abstract visuals)

🧩 Motion, Film & Creative Coding

🖼️ Image Generation & Visual Art

🎧 Audio, Music & Voice

📦 PRE/POST Production, STORYBOARDING & Stock IMAGES/Videos

  • Adobe Creative Cloud
  • Artlist
  • Freepik
  • Better Images of AI
  • Canva AI
  • Mural (mind maps, post-it boards, collaborative boards)
  • FigJam (collaborative whiteboard for teams)
  • Milanote (film moodboards, shot ideas, world-building)
  • Miro (collaborative whiteboard; great for story maps, timelines, and AI-film workflow diagrams)
  • Weje (browser-based moodboard/whiteboard useful for quick collaborative ideation)

🧠MORE RESOURCES & DATABASES:

Creative AI Lab: https://creative-ai.org/

Machine Cinema https://machinecinema.ai/

Aideo tools database: https://aideo.pro/

PlaylabAI – easy software creation for educators: https://www.playlab.ai/

Curious Refuge: https://curiousrefuge.com/

Machine Cinema: Learn, Create, Play

Generative AI Track Tutorial Video: https://youtu.be/QdExCik6sww

Open Source Image Software (from tutorial): https://github.com/TheLastBen/fast-stable-diffusion/

Projects & Tools – Berkman Klein Center: https://cyber.harvard.edu/projects-tools

Transfer Data Trust – a decentralized artist-owned archive: https://transfer.art/trust (read this relevant article for more future affordances of such data co-op initiatives)

Gemini API step-by-step tutorials (image, video, image, etc) and vibe coding https://ai.google.dev/gemini-api/docs/video?example=realism

LexicaArt: https://lexica.art

AR Track AR Art Creation: https://artivive.com

NFT Track NFT Contract Templates w/@thirdweb : https://portal.thirdweb.com/pre-built-cont – thanks to Chris Johnston @cjohndesign for the twitter links

More to check out (under review):

Dream Machine (by Luma Labs) — A text-to-video model capable of creating short scenes with compelling motion sequences.

Veo (by Google DeepMind) — Generative video model that pairs video and audio, supporting multimodal storytelling.

Synthesia — AI platform for creating videos from text using avatars and multilingual voices.
Neural Frames — AI animation generator with frame-by-frame control, works for music videos & abstract visuals.

Artlist AI Video Generator — Tool to turn still images into dynamic short videos using AI.

Veed.io AI Video Generator — Streamlined web tool for turning text → video with automated narration and scenes. .

Runway Gen-3 / Gen-4 Video Model — Generative video model platform with advanced video creation capabilities.

Adobe Firefly Video & Mixed-Media Generator — Adobe’s generative AI platform, now including video generation.


Hedra Video Generation Platform — Startup making character-based AI video/voice/motion; viral “baby interviewing dog” clip example.

Check out the AI Pedagogy section for more suggestions, and use the comments below to add your own suggestions. We welcome partnerships with creators and ed tech companies – contact mh193[at]nyu[dot]edu for more info.

Header image: Luke Conroy and Anne Fehres & AI4Media / https://betterimagesofai.org / https://creativecommons.org/licenses/by/4.0/ | Alt text: An array of colorful, fossil-like data imprints representing the static nature of AI models, laden with outdated contexts and biases. | Message: This image uses the metaphor of the ‘fossil’ to represent the data which AI models are constructed of. The idea of fossil data helps to capture the contextless nature of many AI models. AI models draw upon millions of data imprints, from specific times and places. Such contexts are then stripped away when this data is then used in new ways. In using these ‘fossils’ to create new ideas and imagery, it is important to recognise the old prejudices and contextless ideas held within. Engaging with an AI dataset should therefore be seen as sorting through these old ideas (similarly to an archive) rather than presenting it as some kind of active learning superintelligence.