Free AI Toolkit (2/3): Images, Video, Voice and No-Code Apps With No Paid Subscription

Faisal Adnan · 05 Nov 2026

Free AI Toolkit (2/3): Images, Video, Voice and No-Code Apps With No Paid Subscription

This is the second post in a three-part list of free AI tools. The first covered running models and agents on your own computer. This one covers the creative and no-code side: apps you can assemble visually, images, video and speech. As before, tool names are plain text and licences are noted.

Key takeaways

  • Dify, Langflow and n8n let you build chatbots and AI workflows visually, without much code.
  • Whisper can transcribe and translate speech, including Urdu, and faster-whisper runs it faster with less memory.
  • Model weights can carry separate terms from the code. Read the model card before using a model in a product or a paid project.

No-code AI apps

  • Dify (Dify Open Source License, Apache plus conditions): build chatbots and AI workflows visually.
  • Langflow (MIT): a drag-and-drop builder for agents and RAG, with built-in API and MCP servers.
  • n8n (fair-code, not OSI-approved): automate work across apps, APIs and AI, with a visual canvas and custom code when you need it.

Image generation

  • ComfyUI (GPL-3.0): a node-based visual editor for diffusion models, very flexible.
  • Fooocus (GPL-3.0): a one-click, Midjourney-style generator that works offline.
  • InvokeAI (Apache-2.0): a polished creative studio for AI images.

Video generation

  • Wan2.2 (Apache-2.0): text or image to video with open models.
  • HunyuanVideo (check the licence): Tencent's open text-to-video model.
  • LTX-2 (check the licence): fast video with synchronised audio.

Speech

  • Whisper (MIT): transcribes and translates speech, including Urdu.
  • faster-whisper (MIT): the same model running up to four times faster with less memory.
  • Piper (GPL-3.0): lightweight offline text-to-speech voices.
Which tool for which job
Which tool for which job

The warning every builder should read

Model weights can carry separate terms from the code. A project's code can be MIT-licensed while the model it downloads has a different licence that limits commercial use. Always read the model card before using a model in a product or a paid project.

Licences in plain words: MIT and Apache-2.0 are permissive. GPL-3.0 requires you to share changes if you distribute the software. "Fair-code" and custom licences add conditions, so read them before you build a business on top.

A first project for each

  1. Whisper: transcribe a lecture recording in Urdu and clean the transcript.
  2. n8n or Dify: make a bot that answers questions from your department's handbook.
  3. ComfyUI or Fooocus: generate illustrations for a school project, and credit the tool in your report.
What you need to get started
What you need to get started

These tools need a decent computer for images and video. If yours is slow, start with speech and no-code tools and leave video for later. When you create images or video, remember the lessons from Is That Real? Increasingly, No: label what is AI-made and never use someone's face or voice without consent. The last post in the toolkit series covers testing, security and learning from the source.

Keep reading

See the complete AI Era series


Faisal Adnan

Written by Faisal Adnan

Business Intelligence and AI mentor. I teach Data Analytics, Power BI, Microsoft Fabric, SQL, Python and applied AI, and write about what is changing and what it means for your career.