DeepAI

What is DeepAI?

DeepAI is an all-in-one creative AI platform that runs entirely in the browser and puts image generation, video generation, music generation, conversational AI and prompt-driven photo editing behind a single account. Rather than positioning itself as a specialist that wins on raw output quality in one narrow discipline, it is built around breadth: the same session that drafts a concept image can also animate that image, score it with a background track, and answer follow-up questions about the copy that will accompany it. The company began as a website in 2016, offering the first AI text to image generator, and that origin still shapes the product — the image tools are the deepest part of the platform, while the newer video, music and chat modules extend the same workflow outward.

The platform serves two audiences at once. For people who simply want a result, everything is a web form: type a description, pick a style, press generate. For engineers, the same models sit behind a documented HTTP interface, so a prototype can move from manual experimentation to automated batch processing without changing vendors. The founding team has described the goal as building a comprehensive platform that's intuitive for general practitioners, useful for developers to integrate DeepAI into their projects and to introduce learners new to AI. In practice this makes DeepAI most compelling as a low-friction generalist — a place to explore an idea across several media types cheaply — rather than as the final production tool for a studio with exacting standards.

Core Features

• Text-to-image generation with tiered models: The image generator exposes four quality tiers — Standard, HD, Genius and Super Genius — so you can trade cost against fidelity on a per-image basis. HD renders at 640 × 640 and Genius at 1024 × 1024, while Super Genius reaches 2K resolution. The practical effect is that ideation can run on cheap tiers and only the selected concept needs to be re-rendered at high resolution.
• A large built-in style library: Instead of requiring you to encode aesthetics in long prompt suffixes, the generator ships over 100 additional styles including Cute Creature, Fantasy World, Cyberpunk, and Anime Portrait generators, alongside classic anime, photography, cinematic and graphic-design categories. Selecting a style is often faster and more repeatable than hand-tuning descriptive adjectives.
• Text-to-video and image-to-video: The video module converts text to video, or image to video, which means a still frame produced by the image generator can be animated without leaving the platform. Output shapes cover landscape, standard, square, vertical and portrait framings, so the same concept can be retargeted for different distribution channels.
• Prompt-based photo editing: The AI Photo Editor accepts uploads and asks you to describe your edits in plain language rather than manipulating layers or masks. It accepts up to three images at once, which enables composite requests, and exposes one-click operations for enhancement, background removal and animation.
• Music and sound generation: The music generator is positioned for foley, sound effects, and background tracks for your videos rather than for full commercial song production, which makes it a practical companion to the video module when a clip needs an audio bed quickly.
• Conversational AI with attachments and web access: The chat module accepts file and image attachments, supporting up to 10 images per message, and includes online search plus a direct image-creation entry point, so research, prompt refinement and generation can happen in one thread.
• A developer API across the image stack: Every image model is available programmatically. Requests go to https://api.deepai.org/api/<model> with an API key passed in the api-key header, using POST with multipart/form-data. Available endpoints include text2img, image-editor, background-remover, colorizer, torch-srgan super resolution and Waifu2x, and successful calls return JSON containing an output_url.

Use Cases

1. Rapid visual ideation before committing budget: Concept work often dies from cost friction — nobody wants to burn premium credits exploring twenty directions that will be discarded. Generating first passes on the cheaper tiers and reserving Genius or Super Genius renders for the two or three surviving concepts keeps exploration cheap while ensuring the final asset has usable resolution.
2. Turning a static image into short motion content: Social channels increasingly reward motion over stills, but commissioning animation for every post is impractical. Producing a key frame with the image generator and then feeding it to the image-to-video mode yields a short animated version of an asset you have already approved, with a framing preset that matches the target platform.
3. Cleaning up and restyling existing photography: For product shots, portraits or archive images, the editor's plain-language instructions handle tasks that would otherwise require a desktop editor. Background removal for catalogue consistency, colorization of historical images and upscaling of low-resolution source files all run as discrete steps, and the same operations are available through the API when the volume justifies automation.
4. Scoring video drafts without licensing negotiations: Draft edits usually need placeholder audio, and stock licensing is slow relative to the pace of iteration. Generating a background bed or specific sound effect on demand keeps review cycles moving, and because the terms grant broad reuse rights, the placeholder does not automatically have to be replaced before release.
5. Prototyping AI features inside an application: A team evaluating whether a generation feature belongs in their product can wire the HTTP endpoint into a prototype in an afternoon. Because the request format is a plain multipart POST and the response is JSON with a hosted result URL, integration does not require a heavyweight SDK, which suits proof-of-concept work where the model choice may still change.
6. Teaching and self-directed learning: For classrooms and self-learners, the ability to see how a prompt change alters an image, a video and a piece of music within one interface is pedagogically useful. The browser-only delivery removes the installation and hardware barriers that otherwise exclude many students from hands-on generative AI work.

How to use DeepAI

1. Open the site in a browser and choose the module you need from the top navigation, which includes Chat, Image Generator, Video, Music, Voice Chat and Photo Editor. Basic exploration does not require a heavyweight setup process.
2. Create an account if you intend to keep results, use higher tiers or track spending. An account is what connects your usage to an allowance and, if you subscribe, to the features reserved for paying users.
3. For image work, enter a description, then select a style from the preset library and a model tier appropriate to the stage you are at. Keep early passes on lower tiers while you are still deciding on composition and subject.
4. Iterate on the prompt rather than regenerating blindly. Change one variable at a time — subject, lighting, framing or style — so you can attribute the improvement to a specific edit instead of guessing which change mattered.
5. Move the chosen asset into a second module when the concept is settled. Send a still into the video generator to animate it, or upload it to the photo editor and describe the corrections you want applied.
6. Download the result and check the practical constraints before publication: resolution against the placement, aspect ratio against the destination channel, and factual accuracy of anything the model rendered as text or as a real-world detail.
7. If you plan to run the same operation repeatedly, move it to the API. Send a POST request to the model endpoint with your key in the header, read the output_url from the JSON response, and store the asset in your own pipeline.

Tips & Best Practices

• Match the model tier to the decision you are making. Use inexpensive tiers while you are still deciding what to make, and reserve high-resolution renders for the version that will actually ship. Treating every draft as a final render is the fastest way to exhaust an allowance without improving the outcome.
• Prefer a preset style over a long descriptive tail. Because the library contains a very large number of named styles, selecting one usually produces a more consistent aesthetic than stacking adjectives, and it makes results easier to reproduce across a series.
• Change one prompt variable per iteration. Rewriting the whole prompt between attempts makes it impossible to learn what the model responds to. Incremental edits build reusable intuition that transfers to future projects.
• Chain the modules deliberately. The strongest workflow is sequential rather than parallel: refine wording in chat, generate the still, correct it in the editor, animate it, then add audio. Each step starts from an artefact you have already approved.
• Watch the meter, not just the subscription. Because usage beyond the included allowance is billed per generation, a habit of casually regenerating at the highest tier changes the real monthly cost substantially. Decide in advance which tier each stage of work deserves.
• Verify anything factual before it ships. Generative systems produce plausible text and plausible detail with equal confidence. Rendered lettering, logos, product specifics and numerical claims all need human checking, particularly for commercial placements.
• Keep the source files. Storing the prompt, the style selection and the tier alongside the output makes a result reproducible later, which matters when a client asks for a variation months after the original session.

Who is DeepAI for?

• Hobbyists and casual creators: People who want to make something visual without learning a professional toolchain get immediate results, since everything runs as a web form and there is nothing to install.
• Students and educators: The low cost of entry and browser-only delivery make it practical for coursework and demonstrations, especially where school hardware cannot run local models.
• Social media and content marketers: Teams producing a high volume of low-stakes assets benefit more from breadth and speed than from the marginal quality advantage of a specialist tool.
• Small businesses without a design function: Owners who need a product illustration, a cleaned-up photograph or a short clip can produce a usable asset without commissioning external work for every request.
• Developers building prototypes: The documented HTTP interface and simple request format suit teams validating whether a generative feature is worth building before committing to a larger integration.
• Video editors needing quick placeholders: The combination of short-form video generation and on-demand audio suits drafting and internal review cycles where speed matters more than final polish.
• Newcomers evaluating generative AI: For anyone comparing what image, video, music and chat models can actually do, having all four in one place is a faster route to an informed opinion than opening four separate subscriptions.

Platforms

• Web browser: The platform is delivered online only as a browser-based service, which means it works across desktop and mobile browsers without a download step, and results are produced server-side rather than on your own hardware.
• Developer interface: Image capabilities are exposed programmatically at https://api.deepai.org/api/<model>, authenticated with a key supplied in the api-key header. This is the supported route for automation, batch work and embedding generation inside another product.
• No dedicated desktop application: Work happens in the browser rather than in an installed client, so there is no separate desktop build to maintain or update.
• Native mobile applications: The official site directs users to the browser experience and to the API rather than to an app store listing, so mobile use is best treated as browser-based. (To be verified)
• Third-party editor handoff: The photo editor includes an option to continue editing in an external browser-based editor, which covers manual retouching that the prompt-driven flow does not handle.

Pricing & Plans

There is a free entry point: the image generator can be tried without a heavyweight commitment, and the chat module is accessible without a subscription, though independent reviewers note that the free experience includes advertising after responses. Non-subscribers can also buy credits on a prepaid basis rather than committing to a recurring plan, which suits occasional or seasonal use.

The paid tier, DeepAI Pro, is priced at $9.99 per month or $89.99 per year, with the annual option marked as the better value. The subscription includes a defined monthly allowance rather than unlimited use: 500 HD image generations, 60 Genius Mode images and 10 Super Genius 2K images; 1,750 standard chat messages and 250 Genius Mode messages; 100 AI-generated songs; and either 25 seconds of standard video or 8 seconds of Hollywood Mode video. Beyond those allowances, usage is billed per generation — images run from about $0.01 each at HD up to $0.25 each for Super Genius 2K, video starts at $0.20 per second with Hollywood Mode at $0.30 per second, and music is $0.10 per song. Independent reviewers flag this structure explicitly: the subscription covers only the initial allowance, and pay-as-you-go charges beyond it can accumulate, so heavy users should model expected volume rather than assuming the headline monthly figure is their total cost. Note that some third-party directories still list an outdated lower monthly price; the official pricing page is the authoritative source.

Alternatives

• Midjourney: A specialist image generator with a stronger reputation for aesthetic quality on complex prompts, but narrower scope — it does not bundle video, music, chat or photo editing in the same subscription.
• Adobe Firefly: Positioned around integration with an established creative suite and enterprise-oriented content provenance, which appeals to organisations whose main concern is fitting generation into existing production pipelines.
• Canva: Overlaps on the "non-designer needs an asset quickly" use case, but leads with templates and layout rather than raw model access, and offers no comparable developer endpoint.
• Stability AI and other model providers: Suitable for teams that want direct control over model weights, self-hosting or fine-tuning, at the cost of substantially more engineering effort than calling a hosted endpoint.
• Runway: A stronger fit when video is the primary deliverable rather than one module among several, since its editing and motion tooling is considerably deeper.

Limitations & Considerations

• Output quality trails category leaders on demanding prompts. Independent reviews report that generated images can appear unnatural and that prompts are sometimes misunderstood, particularly on compositions with several interacting subjects. For work with a high quality bar, expect more iterations than a specialist tool would require.
• User sentiment on review platforms is mixed. One independent review platform records a rating of 2.3 out of 5 across a small sample of four reviews, praising browser-based accessibility and generation speed while criticising image naturalness and prompt interpretation. The sample is small enough that it should be read as a signal, not a verdict.
• The chat module has practical constraints. Reviewers note a small context window and advertising shown after responses on the free tier, which limits its suitability for long analytical sessions compared with dedicated assistants.
• Video prompt adherence is inconsistent. Independent testing indicates the video generator does not always follow prompts correctly, and the per-second allowance is short enough that extended sequences quickly move into metered billing.
• Costs are usage-shaped, not flat. The subscription is best understood as a bundle of allowances. Teams that generate continuously should budget for overage rather than treating the monthly fee as a ceiling.
• Content is used to train models by default. The privacy policy states that collected information is used to train our artificial intelligence models, with an opt-out available through a privacy choices link. Anyone working with confidential material should review that setting before uploading client assets.
• Personal data collection is broad. The policy describes collecting name, email address, and phone number alongside prompts, uploaded files and device data, which is relevant for organisations with procurement or data-handling requirements.
• Age restrictions apply. Users under 18 years of age (or the age of legal majority where the user lives) may only use the services under the supervision of a parent or legal guardian, which matters for classroom deployment.
• Rights are generous but not a substitute for diligence. Broad reuse rights do not resolve trademark exposure, personality rights or the accuracy of depicted claims, all of which remain the publisher's responsibility.

FAQ

Q1. Is DeepAI free to use?

There is a free path into the platform — the image generator can be tried without a heavyweight commitment and chat is usable without subscribing — but the free experience is limited and, according to independent reviews, includes advertising after chat responses. Sustained use is designed around either the Pro subscription or prepaid credits.

Q2. Can I use the generated content commercially?

Yes. The terms of service state that all content generated by Deep AI's tools and APIs are free of copyright - you may use them for any legal purpose you wish including commercial use, and separately confirm that you own all right, title, and interest in and to the User Content that you generate by using our Services. This is unusually permissive, but it does not override trademark law, personality rights or advertising standards, so commercial publication still requires ordinary review.

Q3. What does the Pro subscription actually include?

Pro costs $9.99 per month or $89.99 per year and bundles monthly allowances rather than unlimited use: 500 HD images, 60 Genius Mode images, 10 Super Genius 2K images, 1,750 standard chat messages, 250 Genius Mode messages, 100 songs, and 25 seconds of standard video or 8 seconds of Hollywood Mode video. Anything beyond those figures is charged per generation.

Q4. What image resolutions are available?

The generator offers four tiers. HD produces 640 × 640 output, Genius produces 1024 × 1024, and Super Genius reaches 2K resolution, with a Standard tier below those for the cheapest drafts. Choose the tier by stage of work rather than defaulting to the highest available.

Q5. Is there an API for developers?

Yes. Requests are sent to https://api.deepai.org/api/<model> with your key in the api-key header, formatted as a POST with multipart/form-data. Endpoints cover text2img, image-editor, background-remover, colorizer, torch-srgan and Waifu2x among others, and a successful response returns JSON containing an output_url pointing at the generated asset.

Q6. Can it generate video from a photograph?

Yes. The video module handles both text-to-video and image-to-video, so an existing still can be animated directly. Output framing options include landscape, standard, square, vertical and portrait, which lets one source image be retargeted for different placements.

Q7. Is my content used to train the models?

By default, yes — the privacy policy states that collected information is used to train the company's artificial intelligence models, and it provides an opt-out through a privacy choices link. If you handle confidential or client-owned material, adjust that setting before uploading and check the policy for current details.

Q8. What rights do I have over my personal data?

The privacy policy grants the ability to access your personal data, including in a portable format, request erasure of your personal data, and request correction of inaccurate personal data. Residents of jurisdictions with specific privacy statutes also have opt-out rights covering targeted advertising and data sales.

Q9. Does DeepAI work on mobile devices?

The platform is delivered online only as a browser-based service, so it is reachable from a mobile browser without installing anything. The official site points users to the browser experience and to the API rather than to a dedicated app listing. (To be verified)

Q10. Who is DeepAI best suited for?

It fits people who value breadth and low cost over maximum fidelity in a single discipline: hobbyists, students, small businesses without a design team, marketers producing high volumes of low-stakes assets, and developers prototyping generative features. Teams with an exacting quality bar in one medium will generally get better results from a specialist tool.