We understand that our previous pricing model—a mix of subscriptions and credit purchases—was overly complicated. And honestly, we get it. It wasn’t the easiest to understand or project costs.
After trying several ways to simplify it, we realized there was no magic fix. So, we made a bold decision: we’re removing monthly subscriptions entirely.
Looking back, this change aligns perfectly with our vision of making AI accessible to as many companies as possible. How can AI be truly accessible if pricing makes it hard to predict costs?
Our goal is simple: cost should never stand in the way of adopting AI. Now, let’s talk about what this means for you.
You now get full access to all Eden AI features, no matter the size of your team or how many API calls you make each month. Here’s what that looks like:
We believe in flexibility. Why pay for features you don’t use? With no subscriptions, you only pay for what you need, when you need it, with no commitments.
Let’s address the obvious question: how do we stay viable without subscription revenue? The answer is simple: provider-side revenues.
If you don’t have API keys with model providers, you have to buy Eden AI credits to make API calls directly through us. Here’s why that works:
This change goes beyond a simple pricing update. It’s a step toward creating a seamless, accessible AI platform that adapts to your needs. We’ve eliminated complexity so you can focus on what truly matters: building, innovating, and scaling with AI.
With unlimited access, transparent costs, and flexible usage, Eden AI is ready to grow with your company, no matter its size or goals.
We can’t wait to see what you’ll build next with Eden AI.
Thank you for your trust—it means a lot to our team.
Taha, CEO @Eden AI
The video generation API is now available on Eden AI. Developers can now easily integrate video generation into their application or process.
fallback_providers
;Code snippet:
import json
import requests
headers = {"Authorization": "api_key"}
url = "https://api.edenai.run/v2/video/generation_async"
payload = {"providers": "amazon", "text": "your prompt"}
response = requests.post(url, json=payload, headers=headers)
result = json.loads(response.text)
print(result)
Use no-code platforms or app integrations to use the Eden AI API without writing a line of code.
Ready to get started? Try the video generation API today and unlock new AI capabilities!
Hi there,
Happy New Year! 🎉 We're kicking off 2025 with exciting updates: video generation, the return of our powerful AI Model APIs, and even more collaborative workflow features. Let's make this year full of innovation!
Introducing video generation! You can now create high-quality videos using AI. Craft compelling video content with ease, directly from Eden AI Workflows or as a standalone API feature.
Over the past months, we’ve focused on improving Workflows to make it a powerful tool for crafting, orchestrating, and deploying complex AI processes.
But we know that sometimes, simplicity is key. If you’re looking for a single AI feature with the same streamlined experience Eden AI is known for, you’re in luck: our standardized, easy-to-implement APIs are back!
Rediscover the simplicity and power of Eden AI's APIs today!
Extract data from websites with the new Web Scraper Node. Whether for competitive analysis, content gathering, or data enrichment, this node allows you to use web scraping in your AI workflows.
Collaboration made easy!
Team members within the same organization can now view and edit each other’s workflows. This feature is designed to boost productivity and streamline collaborative efforts on Eden AI.
We’re simplifying pricing. With no upfront monthly fees, you now only pay for what you use. Whether you're exploring APIs or crafting workflows, you can scale with confidence and cost-effectiveness. 😃
We hope these updates enhance your experience with Eden AI and empower you to achieve more with our platform. Thank you for your continued support and feedback.
Do not hesitate to suggest ideas and features on our open roadmap!
Jérémy - The product guy
Web scrapers and webhooks are now available on Eden AI workflow.
These tools available on workflow nodes enabling you to streamline data acquisition and create more efficient, automated workflows.
Effortlessly extract structured data from websites to integrate into your workflows:
Webhooks enable event-driven communication between Eden AI workflows and external systems:
Code snippet for workflow webhook:
import requests
headers = {"Authorization": "Bearer {api_key}"}
url = "https://api.edenai.run/v2/workflow/{workflow_id}/execution/"
files = {"video":open('/path/to/your/video.ext', 'rb')}
payload = {
"webhook_receiver": "https://webhook.site/fbfc569c-0cad-4e67-8c9f-019f78ab2ff7",
"users_webhook_parameters": {"something": "an_id"},
"send_webhook_data": true // this means to send full body or not
}
response = requests.post(url, files=files, data=payload, headers=headers)
result = response.json()
The addition of web scrapers and webhooks to Eden AI empowers developers with powerful tools for automating data workflows and enhancing AI integrations.
As always, feel free to reach out with feedback or questions. I’m here to help you make the most of Eden AI.
Samy, CTO @Eden AI
Hi there,
Over the past week, we've been working on bringing back RAG on Eden AI and creating the Copilot that auomatically creates workflows for you!
Access the amazing Image generation models from Leonardo.ai! You can test it here.
RAG is back on Eden AI in a new powerful, intuitive and complete interface. You will be able to create assistants and knowledge based chatbots using all the best LLM models of the market. Let’s create your AI Assistant or chatbot here.
Prompt your project and let our copilot build the workflow for you. You can also describe your project and it suggests a list of nodes that would better fit your need and how to use them.
We now unlock webohooks on Workflow allowing users to use workflow for their user’s feature (optimizing response time).
We heard your feedback about costs visibility and we developed a page where you can visualize the price of models for all AI features available on Eden AI. You can filter by technology and providers and can sort by cost to have a quick overview of the cheapest and most expensive models.
We worked on a new version of the API Guide. You will now find all the information a developer is looking for. An efficient quick start, endpoints details, responses format, detalied errors, code example, etc.
We hope these updates enhance your experience with Eden AI and empower you to achieve more with our platform. Thank you for your continued support and feedback.
Do not hesitate to suggest ideas and features on our open roadmap!
Jérémy - The product guy
Hi there,
Over the past week, we've been working on improving the workflow experience to allow you to create amazing AI automation.
We release a new feature that detects if an image is a deepfake or not, particularly useful to analyze faces. The provider available is SightEngine.
You will now be able to directly test workflow templates with the Live Testing and API. We also cleaned up the interface, removing useless buttons and arranging optional functionalities.
We noticed that many workflow users have troubles using the API. Improving our doc, make it clearer and more friendly should help them implement the API.
We released our SDK yo enable developers to integrate their Eden AI workflows more quickly into their applications. You can now create workflows only with code.
We released a new status page that accurately informs you when they are some troubles with the APIs. Access it here.
RAG will arrive on Workflow, stay tuned 🤙
You have a developer community and you love Eden AI. Share Eden AI with your community and earn commission on users consumption here.
We hope these updates enhance your experience with Eden AI and empower you to achieve more with our platform. Thank you for your continued support and feedback
Do not hesitate to suggest ideas and features on our open roadmap!
Jérémy - The product guy
Hi there,
Over the past week, we've been working on improving the workflow experience to allow you to create amazing AI automation.
Now you can visualize the detailed price of each of your executions on workflow and the pricing of the provider you choose for each node in the builder.
You can now add a description to your workflow to describe its function. A description is displayed for each Eden AI template to understand instantly what it does.
We hope these updates enhance your experience with Eden AI and empower you to achieve more with our platform. Thank you for your continued support and feedback! 🙌💡
Do not hesitate to suggest ideas and features on our open roadmap!
Jérémy - The product guy
Hi there,
Over the past week, we've been working on improving the workflow experience to allow you to create amazing AI automation.
Introducing a new API for Video Question Answering, now available with Google Gemini.
The workflow builder is now horizontal, unlocking the full power of creative workflow design. Key parameters are displayed directly within the workflow for quick configuration and easy visualization of node settings.
We've added technology and business tags to help users filter and find the most relevant use cases quickly.
The new interface is clearer, more visually appealing, and designed for greater efficiency.
You can now rename nodes to provide relevant labels, helping you better understand and visualize your workflow functionalities.
We hope these updates enhance your experience with Eden AI and empower you to achieve more with our platform. Thank you for your continued support and feedback! 🙌💡
Do not hesitate to suggest ideas and features on our open roadmap!
Jérémy - The product guy
I'm happy to share with you the latest news about our product.
Introducing video shot change detection. This feature automatically detects and marks changes in video scenes, enabling efficient video editing, content analysis, and organization. Only available through the API for the moment.
Before, to select a specific model with the API, you had to add the “settings” parameter. It was tedious so we decided to offer you an easier alternative. Now you just need to write in parameter “providers”: “providers_name/model_name”.
Multimodal LLM is finally coming on Workflow. This will unlocks tons of opportunities to create complex workflows by combining text, images, and other data types.
The new Code node allows users to execute custom JavaScript code within workflows. Whether you need to manipulate data, call external APIs, or perform complex calculations, the Code node provides the flexibility to customize workflows to your specific needs.
You can now follow execution steps in real-time during Live testing. This enhancement provides a step-by-step view of the workflow as it runs, helping you identify issues, understand the flow of data, and optimize performance. Real-time insights ensure that debugging and refining workflows is a more intuitive and efficient process.
You can now share your workflows with your team members. This feature facilitates collaboration, allowing team members to view, test and edit your workflows, ensuring collective productivity and innovation.
Input values for live testing are now auto-saved. This enhancement ensures that you can resume testing without losing progress, improving the overall testing and debugging experience.
We hope these updates enhance your experience with Eden AI and empower you to achieve more with our platform. Thank you for your continued support and feedback
Do not hesitate to suggest ideas and features on our open roadmap!
Jérémy - The product guy
I'm happy to share with you the latest news about our product.
Only AlephAlpha was available on Eden AI for image embeddings. The very essence of Eden AI is the possibility to choose and switch between multiple accurate alternatives. We added Google and Bedrock image embeddings APIs to offer you a large and strong choice for this feature.
A live testing link is now available in the sidebar parameters of each feature. This allows for quick execution of nodes to see real-time responses, making it easier to test and refine your workflows.
You can now define your own JSON output in workflows, providing more control over the format and structure of the data generated by Eden AI.
By default, the JSON output returned is the response output of the last node of the workflow.
You can now choose any element of responses from any node of your workflow to return in the output just by created custom key and attributing these keys the values:
See inputs in execution more clearly with our updated interface. Dynamic inputs now displays the source node, making it easier to trace and understand data flow.
We hope these updates enhance your experience with Eden AI and empower you to achieve more with our platform. Thank you for your continued support and feedback
Do not hesitate to suggest ideas and features on our open roadmap!
Jérémy - The product guy