Which AI tools 2023 were genuinely free and helped create text, images, and video and solve work-related tasks? In 2023, users could find chatbots, image generators, and tools for translation and media processing with free modes, but the word “free” often concealed limits, queues, registration, or trial access.
In this roundup, SEO Mind42 examines not an abstract top list, but usage scenarios: what to look for when working with text, photos, video, education, and the Russian language. Platform terms change, especially for users in Russia, so before using a service regularly, check the current access rules, registration requirements, and free-plan limitations.
If a paid model is needed for a task—for example, GPT-5.6 Terra—it is cheaper to access it through the Clodex partner service rather than directly from the vendor. The price difference is shown below.
| Price type | Official vendor price | Through Clodex |
|---|---|---|
| Input tokens | 2 $ / 1 million tokens | 0,07 $ / 1 million tokens |
| Output tokens | 12 $ / 1 million tokens | 0,56 $ / 1 million tokens |
| Difference | Input tokens — в 28,6 times cheaper; Output tokens — в 21,4 times cheaper | |
Partner price source: Clodex. Price check date: 2026-08-18.
SEO Mind42 does not sell API access or provide tokens: we recommend a third-party service Clodex. This is an affiliate link.
The essentials
- In 2023, AI tools were used for text, images, photos, video, translation, speech transcription, and chatting.
- Free access may be permanent, limited by quotas, or available for demonstration purposes.
- A chat AI rarely replaces an image generator, and a photo tool does not handle video-generation tasks.
- The Russian-language interface and the quality of handling Russian prompts should be evaluated separately.
- The availability of an online service in Russia depends on the platform’s policy, the registration method, and current technical restrictions.
- Do not upload passwords, customer databases, contracts, passport details, or other sensitive materials to public services.
What is an AI tool, and why is it needed for work and everyday tasks?
An AI tool is a model of artificial intelligence that analyzes patterns in data and produces an answer, text, image, audio, or another result. The user sends the model a request, often called a prompt, and the AI tool selects the most probable answer based on its training and the context available to it.
Generative AI tools create new content: they write a draft article, suggest a publication plan, generate an image from a description, transcribe audio, or help create a video script. For an SEO specialist, such a service is useful for preparing page structure, clustering ideas, editing wording, and creating meta-description options, but the final decision remains with a human.
A chat is convenient when you need to quickly explain a topic in simple language, prepare a list of interview questions, or adapt your own text to a specified structure. An image generator is needed for visual concepts and illustrations. Speech tools solve a different task: they turn an audio recording into text, create subtitles, or synthesize speech.
An AI tool does not replace fact-checking, editing, or subject-matter expertise. It can confidently formulate an incorrect answer, convey a term inaccurately, or invent a source if the user has not provided verified source data.
What “free AI tool” means in practice
Completely free access
Completely free access means that the platform does not charge for basic use of the model. This does not guarantee the absence of other restrictions: the service may place the user in a queue, reduce response speed, limit image quality, restrict the size of uploaded files, or limit access to new features.
Open local models often come closest to this format. The user downloads the model or application, runs it on their own device, and does not pay for each request, but they need available storage space, suitable hardware, and an understanding of the basic installation process. The costs of the computer, file storage, and maintenance of such a system still remain.
Freemium service
A freemium service operates on a freemium model: basic features are available at no cost, while an expanded mode requires a subscription or internal credits. The platform may limit the number of generations, image resolution, access to a particular model, result exports, video length, or chat history.
This was the format most often found in roundups of free AI tools 2023. It is suitable for getting acquainted with a tool, one-off tasks, and quality testing. For regular work, you should assess in advance whether the process will stop once the free limit is exhausted.
Trial period and free credits
Trial access lets you test a service before paying. Free credits provide a limited number of actions, such as generating several image variations or a short video. Such a product cannot be called completely free: after the trial period ends, some features become paid or unavailable.
And what happens if you do not check the rules in advance? A user may prepare a workflow template and then discover that exporting, commercial use, or the required quality is available only on another plan. Before starting, look not at the advertising banner but at the section describing the terms and feature limitations.
Without registration, with registration, and after downloading
Browser-based services without registration make it possible to quickly test a basic function, but they often do not save query history and restrict file uploads. Registration is required by platforms that store projects, chat history, settings, generated results, and information about limits.
An application is installed on a computer or phone when the developer offers a separate client. A local model must be downloaded and deployed on the device. There is no need to look for a “download AI tool” button in every online chat: many products work only through a browser version and do not support local installation.
Which AI tools were popular in 2023: a task-based roundup
In 2023, the generative AI market was growing rapidly, and users increasingly chose a service based on the result format rather than one high-profile name. The areas and well-known tools from that period are listed below, but their current status, registration requirements, availability in Russia, and free-use terms should be checked separately before starting work.
Chat AI tools for text, ideas, and work-related tasks
For text, the tools most often discussed in 2023 were ChatGPT, Bing Chat, later renamed Microsoft Copilot, as well as solutions based on open language models. They were used for drafts, article structure, headline options, content ideas, editing wording, and preparing interview questions.
A good chat AI tool for work should support dialogue and follow-up questions, handle Russian adequately, retain the context of the task, and provide clear terms for data processing. If you work in SEO, see our collection of materials on AI in search promotion: it contains analyses of scenarios in which AI helps a specialist rather than replacing analysis.
A short prompt is sufficient for a text draft. For a complex task, it is better to provide the topic, target audience, desired structure, facts, and limitations. The model does not know your company’s internal processes unless you describe them in a safe form.
AI tools for creating images and pictures
Image generators turn a text description into an image. In 2023, users often worked with Midjourney, Stable Diffusion, DALL·E, and Bing Image Creator. These solutions differed in their access methods, generation quality, style settings, rules for using the results, and registration requirements.
Generating an image from scratch begins with a prompt: the user describes the object, composition, lighting, style, and format. Editing a finished image works differently: the model changes part of a photo, removes the background, replaces an object, or creates variations based on the original. A concept is enough for an article cover, but branded visuals will require manual refinement by a designer.
AI tools for photos
AI photo features help remove backgrounds, eliminate unwanted objects, increase resolution, improve sharpness, retouch images, or create several versions of the original image. Such tools are often built into graphics editors, mobile apps, and browser-based services, so not every editor with an AI feature should be considered a separate AI tool.
When processing a portrait, evaluate not only the technical quality but also the authenticity of the result. An edited photo of a person must not be presented as documentary footage without clear context. This is especially critical for materials about employees, products, events, and expert publications.
AI tools for video
In 2023, AI video tools were used to create short clips from text or images, generate subtitles, transcribe speech, edit footage, synthesize voices, and create digital avatars. Runway and services with AI features in video editors were among the solutions discussed, but free modes on such platforms particularly often limited duration, exports, quality, or added a watermark.
For a short clip, it is enough to check how the service creates scenes, subtitles, and transitions. Corporate video requires a separate review of the license, the policy for storing source files, voice rights, and rules for using avatars. Long, high-quality video should rarely be planned around a free mode without prior testing.
AI tools for translation, speech, and education
Language and audio tools translate text, create summaries, produce study cards, transcribe recordings, and help check whether wording is clear. For speech recognition, models from the Whisper family and services that built their features on similar technologies were widely used in 2023.
An AI-based translator is useful as a draft, especially for understanding the general content of a text. Legal, medical, financial, technical, and contractual materials should be checked by a specialist who understands the subject area and its terminology. An error in a single term can change the meaning of the entire document.
How to choose a good free AI tool for your task
The choice begins not with the name of a popular service but with the result you want to obtain. An article requires a chat AI tool, a visual reference requires an image generator, and a recording transcript requires a speech model. One universal tool rarely handles text, photos, video, and analytics equally well.
- Define the result. Formulate the task in one sentence: prepare an article outline, create an image for a post, process a photo, make a short video, translate text, or transcribe audio.
- Check the access format. Find out whether there is a request limit, queue, watermark, resolution restriction, unavailable export, or paid features.
- Evaluate Russian-language support. A Russian-language menu does not mean that the service writes, translates, or understands prompts in Russian well.
- Run a test. Give several tools the same safe prompt, then compare the facts, structure, style, errors, and alignment with the goal.
- Check the terms of use. Review the terms for data processing, file storage, and commercial use of the result before publishing or sending materials to a client.
It is best to choose a test task from your everyday work, but without confidential information. For example, ask a chat to suggest an outline for an article on a public topic or instruct an image generator to create a neutral illustration. The result will show quality better than the promotional description on the service’s homepage.
Do not share sensitive data
Do not upload passwords, banking information, passport details, client databases, contracts without permission, internal documents, source code, or materials that cannot be shared with third parties to a public neural network. Even if a service seems familiar, its policies on storing and training on user data may differ from your internal rules.
For work-related tasks, it is useful to divide data into safe and restricted categories in advance. You can provide an anonymized text fragment to a chat and ask it to improve the structure. It is better not to use a complete contract, client database, or internal reports as source material without an approved procedure and a review of the platform’s terms.
If you decide during your reading to take out a paid plan, compare the official price with the price through a partner before subscribing directly: the difference is usually several times, and the calculation is provided at the beginning and end of the article.
How to properly formulate a request to a neural network
The quality of the response depends on the input data. A neural network does not guess the user’s goal: a vague request such as “write a text about SEO” usually produces an equally vague result. A good prompt describes the context, task, facts, response format, and constraints.
- Specify the context. Explain who the material is being prepared for and in what situation it will be used.
- Formulate the task. Write what needs to be created: an outline, text, list of ideas, script, table, or brief explanation.
- Add the source data. Provide the topic, audience, verified facts, constraints, and desired tone.
- Set the format. Ask for the result in the form of an outline, list, table, draft, or set of options.
- Define the criteria. Specify the length, style, prohibited words, and the requirement to use only the information provided.
Example for an outline: “Create an article outline for beginner webmasters about internal linking. It should include H2 and H3, make no promises about improved rankings, and include a separate section on common mistakes. Format: a list of headings with a brief explanation.”
Example for an image: “Create a description for an image generator: a minimalist illustration about search engine optimization, a laptop screen with a chart, a blue and light neutral background, a horizontal composition, with no text or logos.”
Example for editing: “Shorten my text into a clear list of five points. Do not add new facts, do not change the meaning, and preserve the business style.” A person performs the final check of facts, terminology, and compliance with the task.
Neural networks in Russia: what to check before using them
Access to a foreign platform in Russia may depend on the region, registration method, the service’s current policy, and payment infrastructure. Its status should not be considered permanent: a service that was previously accessible may change its account requirements, the set of available features, or how it works with users from different countries.
Some foreign services may have worked unstably or had regional restrictions. A VPN does not guarantee access, does not override platform rules, and should not become the foundation of a work process. It is more reliable to have a backup option: another browser-based service, application, or local model, if it suits the task and the available hardware.
When choosing a Russian-language neural network, check two characteristics. First: is the interface available in Russian? Second: how well does the model understand Russian prompts, inflections, professional vocabulary, and the meaning of long texts? These parameters do not always coincide.
For specialists who use AI in search engine promotion, it is useful to review working with neural networks in SEO in Russia. It helps examine the tool not only as a text generator, but also as part of a process involving data, editing, result verification, and responsibility for publication.
Common mistakes when using free neural networks
Treating a chat’s response as reliable
A chat-based neural network generates a plausible response but does not guarantee accuracy. Check dates, names, figures, links to documents, and any facts on which a reader’s or client’s decision depends.
Copying text without editing
Generated text may repeat generic phrasing, violate logic, fail to account for the brand’s style, or contain factual errors. An editor should check the structure, originality of the ideas, terminology, and the material’s usefulness to the audience.
Choosing a service based solely on popularity
A popular neural network is not always suitable for a specific task. An image generator may be weak at handling text in an image, while a chat that gives good answers in Russian may not support the required file uploads or a long context.
Not reading the terms of the free plan
Generation limits, queues, watermarks, resolution, export, and commercial use often depend on the selected mode. Check these points before incorporating the service into the content preparation process.
Sharing confidential materials
A public chat cannot be used as a secure repository for internal documents. Anonymize data, exclude personal and commercially sensitive information, and use only approved tools for restricted tasks.
Expecting one tool to do everything
Text neural networks, image generators, photo editors, and video services use different models and interfaces. Dividing tasks reduces the number of errors and helps you assess each tool’s free access more accurately.
Practical conclusion: which neural network to choose
| Task | What type of neural network to look for | What to check |
|---|---|---|
| Write a draft text | Chat-based neural network | Russian-language quality, limits, ability to refine the prompt |
| Create an image | Image generator | License, image size, watermark, number of generations |
| Edit a photo | Editor with AI features | Processing quality, privacy of uploaded files |
| Make a short video | Video generator or editor with AI | Limits, duration, export, watermark |
| Translate text or transcribe speech | Language and audio neural network | Terminology accuracy, Russian-language performance, recording storage |
The best free neural network for a particular user is a service that solves the required task, delivers an acceptable result on a test prompt, and clearly describes its terms of use. Free neural networks 2023 are useful to view as a historical entry point into the market rather than as a permanent list of available platforms.
- Choose a neural network based on the result, not the impressive name.
- Distinguish permanent free access from trial modes and credits.
- Check the Russian language, registration, limits, and data-processing rules.
- Edit the text, verify facts, and assess the rights to the visual result.
SEO Mind42 regularly updates educational materials about AI, search engine promotion, and work tools. To continue exploring the topic, see the review of access to ChatGPT and AI tools for SEO tasks and choose a service after conducting your own test.
FAQ
What is the best free neural network?
There is no single best neural network. Chatbots are more convenient for text, image generators are needed for pictures, AI editors are suitable for photos, and separate generation and editing services are required for video. Compare the quality of the result, Russian-language performance, limits, and terms of use.
Which neural networks are available for free in Russia?
Availability depends on the specific platform and may change. Before starting, check whether the service opens in Russia, whether registration is required, whether Russian is supported, and which features are available at no cost.
Can I use a neural network without registering?
Some online services allow a limited number of actions without an account. Registration is often required to save history, upload files, use advanced settings, or access the service regularly, but the rules depend on the platform.
Can text, photos, or images created by a neural network be used at work?
This depends on the terms of the specific service, the selected plan, the type of result, and the source materials. Before publishing, check the rules for commercial use and make sure the result does not infringe third-party rights.
Do I need a VPN to work with neural networks?
Some foreign services may have regional restrictions or work unstably. A VPN does not guarantee access and does not override the platform’s terms, so you should not build a permanent work process around it.
Can I upload work documents to a chat?
Do not send confidential documents, client databases, passwords, personal data, or materials that cannot be disclosed to third parties to public services. For testing, use anonymized fragments or public data.
Paid access through an API
If the free limits are not enough, API access to models can be arranged directly with the vendor or through the Clodex partner service—below is a comparison of official prices and the price through the partner. For example, GPT-5.6 Terra through the partner is 28,6 times cheaper than the official price—the complete list of models is in the table.
| Model | Official: input / output | Through Clodex: input / output |
|---|---|---|
| qwen3.6-flash | Input: 0,25 $ / 1 million tokens Output: 1,5 $ / 1 million tokens | Input: 0,019 $ / 1 million tokens Output: 0,019 $ / 1 million tokens |
| qwen3.6-plus | Input: 0,5 $ / 1 million tokens Output: 3 $ / 1 million tokens | Input: 0,032 $ / 1 million tokens Output: 0,032 $ / 1 million tokens |
| qwen3.7-plus | Input: 0,4 $ / 1 million tokens Output: 1,6 $ / 1 million tokens | Input: 0,045 $ / 1 million tokens Output: 0,045 $ / 1 million tokens |
| codex-auto-review | — | Input: 0,0525 $ / 1 million tokens Output: 0,0525 $ / 1 million tokens |
| gemini-3.7-flash | Input: 0,75 $ / 1 million tokens Output: 3,75 $ / 1 million tokens | Input: 0,06 $ / 1 million tokens Output: 0,24 $ / 1 million tokens |
| gemini-3.7-flash-high | Input: 0,75 $ / 1 million tokens Output: 3,75 $ / 1 million tokens | Input: 0,06 $ / 1 million tokens Output: 0,24 $ / 1 million tokens |
| gemini-3.7-flash-low | Input: 0,75 $ / 1 million tokens Output: 3,75 $ / 1 million tokens | Input: 0,06 $ / 1 million tokens Output: 0,24 $ / 1 million tokens |
| gemini-3.7-flash-medium | Input: 0,75 $ / 1 million tokens Output: 3,75 $ / 1 million tokens | Input: 0,06 $ / 1 million tokens Output: 0,24 $ / 1 million tokens |
| qwen-image-2.0 | — | 0,06 $ / шт. |
| gpt-5.6-luna | Input: 0,2 $ / 1 million tokens Output: 1,2 $ / 1 million tokens | Input: 0,063 $ / 1 million tokens Output: 0,504 $ / 1 million tokens |
| grok-composer-2.5-fast | — | Input: 0,068 $ / 1 million tokens Output: 0,068 $ / 1 million tokens |
| clodex-cursor | — | Input: 0,07 $ / 1 million tokens Output: 0,07 $ / 1 million tokens |
| gpt-5.6-terra | Input: 2 $ / 1 million tokens Output: 12 $ / 1 million tokens | Input: 0,07 $ / 1 million tokens Output: 0,56 $ / 1 million tokens |
| deepseek-v4-pro | Input: 1,32 $ / 1 million tokens Output: 3,96 $ / 1 million tokens | Input: 0,08 $ / 1 million tokens Output: 0,08 $ / 1 million tokens |
| grok-4.5 | Input: 2 $ / 1 million tokens Output: 6 $ / 1 million tokens | Input: 0,08 $ / 1 million tokens Output: 0,08 $ / 1 million tokens |
| grok-4.6 | Input: 2 $ / 1 million tokens Output: 6 $ / 1 million tokens | Input: 0,08 $ / 1 million tokens Output: 0,08 $ / 1 million tokens |
| clodex-cursor-pro | — | Input: 0,084 $ / 1 million tokens Output: 0,084 $ / 1 million tokens |
| gemini-3.6-flash | Input: 0,75 $ / 1 million tokens Output: 3,75 $ / 1 million tokens | Input: 0,09 $ / 1 million tokens Output: 0,36 $ / 1 million tokens |
| kimi-k3 | — | Input: 0,09 $ / 1 million tokens Output: 0,09 $ / 1 million tokens |
| glm-5.2 | — | Input: 0,1 $ / 1 million tokens Output: 0,1 $ / 1 million tokens |
| gpt-image-2 | — | 0,1 $ / шт. |
| nano-banana-2 | — | 0,1 $ / шт. |
| deepseek-v4-flash | Input: 0,44 $ / 1 million tokens Output: 1,32 $ / 1 million tokens | Input: 0,12 $ / 1 million tokens Output: 0,12 $ / 1 million tokens |
| qwen-image-2.0-pro | 0,075 $ / шт. | 0,12 $ / шт. |
| qwen-image-3.0-pro | — | 0,12 $ / шт. |
| qwen3.7-max | Input: 2,5 $ / 1 million tokens Output: 7,5 $ / 1 million tokens | Input: 0,13 $ / 1 million tokens Output: 0,13 $ / 1 million tokens |
| glm-5.3 | — | Input: 0,15 $ / 1 million tokens Output: 0,15 $ / 1 million tokens |
| MiMo-V2-Flash | — | Input: 0,162116 $ / 1 million tokens Output: 0,162116 $ / 1 million tokens |
| qwen3.8-max | — | Input: 0,17 $ / 1 million tokens Output: 0,17 $ / 1 million tokens |
| grok-imagine-video-1.5 | — | 0,18 $ / шт. |
| MiniMax-M2.1 | — | Input: 0,2 $ / 1 million tokens Output: 0,2 $ / 1 million tokens |
| MiniMax-M2.5 | — | Input: 0,22233 $ / 1 million tokens Output: 0,22233 $ / 1 million tokens |
| MiniMax-M2.7 | — | Input: 0,22233 $ / 1 million tokens Output: 0,22233 $ / 1 million tokens |
| MiniMax-M3 | — | Input: 0,22233 $ / 1 million tokens Output: 0,22233 $ / 1 million tokens |
| gpt-5.5 | Input: 5 $ / 1 million tokens Output: 30 $ / 1 million tokens | Input: 0,25 $ / 1 million tokens Output: 1,5 $ / 1 million tokens |
| gpt-5.6-sol | Input: 5 $ / 1 million tokens Output: 30 $ / 1 million tokens | Input: 0,25 $ / 1 million tokens Output: 2 $ / 1 million tokens |
| claude-haiku-4-5 | Input: 1 $ / 1 million tokens Output: 5 $ / 1 million tokens | Input: 0,2805 $ / 1 million tokens Output: 1,4025 $ / 1 million tokens |
| claude-haiku-4-5-20251001 | Input: 1 $ / 1 million tokens Output: 5 $ / 1 million tokens | Input: 0,2805 $ / 1 million tokens Output: 1,4025 $ / 1 million tokens |
| claude-opus-4-7 | Input: 5 $ / 1 million tokens Output: 25 $ / 1 million tokens | Input: 0,3 $ / 1 million tokens Output: 1,5 $ / 1 million tokens |
| claude-sonnet-4-6 | Input: 3 $ / 1 million tokens Output: 15 $ / 1 million tokens | Input: 0,34125 $ / 1 million tokens Output: 1,70625 $ / 1 million tokens |
| claude-sonnet-5 | Input: 2 $ / 1 million tokens Output: 10 $ / 1 million tokens | Input: 0,35 $ / 1 million tokens Output: 1,75 $ / 1 million tokens |
| Kimi-K2 | — | Input: 0,423486 $ / 1 million tokens Output: 0,423486 $ / 1 million tokens |
| Kimi-K2-Thinking | — | Input: 0,423486 $ / 1 million tokens Output: 0,423486 $ / 1 million tokens |
| MiniMax-M2.7-highspeed | — | Input: 0,44466 $ / 1 million tokens Output: 0,44466 $ / 1 million tokens |
| claude-opus-4-8 | Input: 5 $ / 1 million tokens Output: 25 $ / 1 million tokens | Input: 0,45 $ / 1 million tokens Output: 2,25 $ / 1 million tokens |
| kimi-k2.5 | — | Input: 0,489655 $ / 1 million tokens Output: 0,489655 $ / 1 million tokens |
| kimi-k2.6 | — | Input: 0,701398 $ / 1 million tokens Output: 0,701398 $ / 1 million tokens |
| kimi-k2.7-code | — | Input: 0,701398 $ / 1 million tokens Output: 0,701398 $ / 1 million tokens |
| claude-opus-5 | Input: 5 $ / 1 million tokens Output: 25 $ / 1 million tokens | Input: 0,85 $ / 1 million tokens Output: 0,85 $ / 1 million tokens |
| kimi-k2.7-code-highspeed | — | Input: 1,402797 $ / 1 million tokens Output: 1,402797 $ / 1 million tokens |
| claude-fable-5 | Input: 10 $ / 1 million tokens Output: 50 $ / 1 million tokens | Input: 2,5 $ / 1 million tokens Output: 2,5 $ / 1 million tokens |
Partner price source: Clodex. Price check date: 2026-08-18.
SEO Mind42 does not sell API access or provide tokens: we recommend a third-party service Clodex. This is an affiliate link.
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