AI GUIDEPartner content

Free AI for making notes: how to summarize text, lectures, and videos

How to use a free online AI tool for making notes: process text, a lecture, video, photo, or document, write a prompt, and check the result.

Affiliate link: your price stays the same and the project earns a commission.

A free AI tool for making notes helps turn text, a document, a lecture transcript, a photo of a page, or video content into a concise, structured summary. The quality of the result depends on the readability of the source, the accuracy of the prompt, and checking the finished notes against the original source.

If the task requires a paid model—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.

Цены для gpt-5.6-terra (OpenAI)
Price typeOfficial vendor priceThrough Clodex
Input tokens2 $ / 1 million tokens0,07 $ / 1 million tokens
Output tokens12 $ / 1 million tokens0,56 $ / 1 million tokens
DifferenceInput 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

  • AI is better at condensing and structuring prepared material than at creating reliable study notes from scratch.
  • For a lecture, audio, or video, you first need a transcript of the speech; then AI can identify the topics, key points, and conclusions.
  • Photos and scans require OCR text recognition. Formulas, tables, diagrams, and handwritten notes increase the risk of errors.
  • A free service often limits the text volume, number of requests, file uploads, exports, or available models.
  • An accurate prompt should specify the length, audience, structure, and a ban on adding information not found in the source.
  • The finished notes remain a draft until you have checked them against the original.

What an AI note-taking tool can do and what you should not expect from it

Notes are not a copy of the source text or a mechanical shortening of paragraphs. Good notes show the logic of the material and record the main ideas, definitions, arguments, conditions, conclusions, and sequence of actions. A student uses them to prepare for an exam, a teacher puts together a lesson plan, and a specialist quickly reviews a meeting recording or instructions.

An AI note-taking tool analyzes the text provided and creates a summary according to the instructions: it makes an outline, highlights key points, formats a terminology table, prepares revision cards, or creates review questions. A language model does not replace a teacher, lecture author, or subject-matter specialist. It calculates probable connections between text fragments and may misinterpret a complex formulation.

Artificial intelligence combines different data-processing technologies. A neural network is one of the approaches in the field of AI. In everyday speech, these terms are often used as synonyms; however, for note-taking, the specific functions of the service matter more: whether it accepts files, recognizes speech, understands Russian, and can follow instructions.

How does a summary differ from study notes? A summary briefly retells the content, while notes preserve the learning logic: sections, definitions, examples, cause-and-effect relationships, exceptions, and self-check questions. If you only ask a model to “shorten the text,” it will often produce a general description instead of study material.

Which AI can make notes? A language model that accepts text or files, processes the required amount of material, and follows instructions about the response structure will work. For photos, audio, and video, you will need text- or speech-recognition features or an existing transcript.

What you can use AI to make notes from

Text, an article, a document, or a PDF

Text-based source material produces the most predictable result. First, make sure the document opens and can be copied and contains no obvious errors: broken words, jumbled paragraphs, or random characters left after OCR. If the PDF consists of scans, recognize the text first and only then submit it to the language model.

It is better to divide a large document by chapters or meaningful sections. A free AI note-taking tool often limits the volume of a single request, so trying to insert all the content at once may result in an incomplete response, omitted final sections, or an overly superficial summary. After processing the sections, ask the model to assemble an overall outline and check that it has not lost the connections between sections.

  1. Check the source. Correct obvious recognition errors and remove technical clutter.
  2. Divide the material. Preserve meaningful boundaries: chapters, topics, stages, and definitions.
  3. Provide instructions. Specify the required format, length, and essential terms.
  4. Assemble the result. After processing the fragments, request a general structured outline.
  5. Cross-check the result. Check definitions, figures, dates, formulas, and exceptions.

From a lecture or audio recording

A free online AI tool for lectures usually works in the following sequence: “audio → transcript → editing → notes.” Transcription converts speech into text but does not make it concise or convenient for review. After transcription, you need to remove repetitions, filler words, technical remarks, and recognition errors, and then ask the model to identify the topics, definitions, and conclusions.

Audio quality determines the quality of the final document. Background noise, quiet speech, multiple speakers, rare terms, formulas, foreign surnames, and a poor microphone lead to errors. What happens if you do not check the transcript? The AI will build the notes around distorted phrases, and correcting the logic afterward will be more difficult than proofreading the text before processing.

The request “AI for recording lectures” needs clarification. One app may record sound on a phone, another may recognize an already saved audio file, and a third may only turn an existing transcript into key points. Not all services combine these functions in one interface.

From a video lesson or webinar

A free AI tool does not always create notes from a video using just one link. Many tools require subtitles, a transcript, or an audio-track file because the model derives meaning from the speech text. If the lesson contains many on-screen diagrams, demonstrations, or formulas, transcription alone is not enough: important elements will have to be added to the notes manually.

For video, it is useful to request not only key points but also the sequence of topics, a list of terms, and time codes if they appear in the transcript. A time code links a note item to a specific place in the recording. This speeds up checking a disputed fragment and helps you return to the teacher’s explanation.

From a photo, scan, or image of a page

A free AI note-taking tool working from a photo must first read the image. OCR, or optical character recognition, handles this task. After OCR, the AI can shorten the resulting text, highlight the main ideas, and create an outline, but the quality of the result depends on the image.

Attention. Blurred text, a tilted page, shadows, small type, handwritten notes, tables, charts, and formulas are often recognized incorrectly. Before creating notes, check whether the service has read the key terms, numbers, and symbols correctly.

When photographing a page, shoot it straight on, in good lighting, and without glare. If the material contains formulas or technical drawings, do not trust the automatic transfer of symbols. This check is especially important in technical, medical, and natural-science subjects.

On a phone and Android

A free AI note-taking tool on Android is convenient when a student needs to upload a document from a phone, paste text from notes, or process a saved lecture in a browser. Choose based not on the model’s impressive name but on the actual mobile use case: whether the service supports Russian, allows file uploads, saves history, and lets you copy the result.

Also check how the service processes data, whether the free version has restrictions, and whether you can export the notes to a notes app or document. An app that generates attractive text but does not let you quickly compare it with the source is inconvenient for study tasks.

How to make notes online with AI: a step-by-step guide

Prepare the source material

Remove duplicates, technical remarks, and fragments unrelated to the topic from the text. In a lecture transcript, it is useful to separate speakers and correct incorrectly recognized terms. A document with several unrelated topics is best divided into sections; otherwise, the model will mix up concepts and create an overly general outline.

For photos and scans, first obtain readable text. Prepare video using subtitles or an audio transcript. When the source contains tables, lists, or formulas, mention them separately in the instructions so that the AI does not turn the structure into a continuous retelling.

Formulate the task

The prompt determines what the notes will be like. Specify the audience, required length, formatting, essential definitions, and a ban on adding new facts. For a complex topic, it is useful to ask the model to mark places where the source does not provide enough information instead of completing the explanation on its own.

The principles of precise prompt formulation are useful not only for studying. At SEO Mind42, we explore the use of language models in work tasks and regularly show why the result depends on context, constraints, and verifiable data. Find a selection of materials on this topic in the section on AI and neural networks.

Get a draft and check it

Do not use the first response as the final document. Compare it with the original source: have the main topics been preserved, have any new facts appeared, and have any dates, surnames, numbers, or definitions changed? Check conditions and exceptions separately, because the model often shortens precisely the phrases that change the meaning of a rule.

  • Are all the key topics included in the notes?
  • Are there any statements that do not appear in the source material?
  • Have the terms, formulas, names, dates, and numbers been conveyed correctly?
  • Has the sequence of actions and the logic of the conclusions been preserved?
  • Have any caveats, exceptions, or limitations been omitted?

Turn the summary into a convenient format

A single source can be reworked into several formats. A hierarchical outline is suitable for reviewing a topic, a “term — definition” table helps memorize concepts, cards speed up preparation, and review questions reveal gaps in understanding. For a work meeting, a reference sheet with decisions, tasks, and responsible people is useful, but such information should be checked against the recording especially carefully.

Ready-made prompts for creating notes

Notes from a study text

“Create structured notes from this text for a student. Use only information from the source material. Highlight the topic, main points, definitions, causes, and conclusions. Do not add facts of your own. Preserve special terms and mark places where the source does not contain enough information.”

Lecture notes with definitions

“Turn the lecture transcript into notes. Remove repetitions and conversational remarks, but preserve the meaning. Divide the material into topics; for each topic, provide key points and definitions. List separately the questions that the lecturer did not answer directly. Do not correct facts unless the source indicates that they should be corrected.”

Article summary for exam preparation

“Prepare a brief summary of the article for exam preparation. First create an outline, then expand each point with several key statements. Preserve dates, surnames, terms, conditions, and exceptions. At the end, add review questions based only on information from the article.”

Video notes with the sequence of topics

“Based on this video transcript, prepare notes. Show the sequence of topics, main ideas, definitions, and practical conclusions. If the text contains time codes, preserve them next to the corresponding topic. Do not add information that is not in the transcript.”

Processing a rough audio transcript

“Clean this audio transcript of repetitions, filler words, and technical phrases. Do not change the meaning or add information. Then format it as structured notes with headings, key points, a list of terms, and a brief conclusion.”

If you decide to take out a paid plan while reading, compare the official price with the price through a partner before subscribing directly: the difference is usually several times over, and the calculation is provided at the beginning and end of the article.

How to choose a free note-taking service

There is no universally best free AI tool. One service is more convenient for pasted text, another works better with documents, and a third accepts audio or images. Free access also changes: the developer may revise limits, available models, export options, or registration terms.

Criterion What to check
Material format Whether the service accepts text, documents, photos, audio, transcripts, or video subtitles.
Russian language Whether the model correctly processes Russian-language terms, long sentences, and educational definitions.
Volume Whether there is a limit on text length, file size, number of uploads, or number of processing operations.
Response structure Whether you can get an outline, key points, a table, flashcards, review questions, or time codes.
Export Whether copying, saving the result, and transferring it to notes or a document are available.
Confidentiality What data the service collects and whether it is permissible to upload educational or work materials to it.
Verification Whether you can quickly compare the answer with the source and return to the relevant passage.

Do not call every GPT chat a summary generator. If a tool accepts only manually pasted text, it will not transcribe audio or extract content from video on its own. First determine the format of the source material, then choose the appropriate processing scenario.

Errors when working with AI-generated summaries: cause, consequences, and appropriate action

Error Why it occurs What it leads to What to do
Upload material without instructions The model chooses the summarization logic on its own The summary turns out to be generic or chaotic Immediately specify the purpose, length, structure, and required terms
Trust the first answer The model omits details or misinterprets passages Errors appear in educational and work-related conclusions Compare the summary with the original
Use an illegible photo OCR makes errors in characters and page structure Formulas, numbers, and definitions are lost Make a high-quality scan and check the recognized text
Confuse a transcript with a summary Audio is converted into the full text of the speech The material remains long and inconvenient After transcription, request structuring separately
Upload confidential data The user does not assess the terms of the third-party service There is a risk of unauthorized transfer of information Remove identifiers and use an authorized tool

When working editorially with long transcripts, first remove repetitions and technical phrases from the text, then divide it by topic. After that, the AI tool creates a draft structure, and a person compares disputed points with the recording. This process helps prevent a transcript from being presented as a finished summary.

Do not upload documents containing full names, contact details, document numbers, grades, meeting recordings, or other identifiers to a public online service until you have assessed the legal basis and processing terms. Federal Law No. 152-FZ “On Personal Data” regulates the processing of personal data, while Roskomnadzor oversees compliance with legislation in this area.

Before processing an educational or work document, remove unnecessary personal information. Access to material does not mean that it may be freely transferred to a third-party service, copied, adapted, or distributed. This applies especially to internal instructions, client materials, exam papers, and recordings of closed meetings.

Lectures, articles, presentations, and instructional materials may be protected by copyright. Article 1259 of the Civil Code of the Russian Federation classifies works of science, literature, and art as copyright objects, while Article 1270 regulates the exclusive right to a work. AI does not cancel the author’s rights or the rules governing access to the source.

Attention. Legal, medical, financial, technical, and other critical materials must not be used without verification against the primary source or by a specialist. An error in a condensed summary can change the meaning of a condition, instruction, or conclusion.

Legal issues surrounding the use of AI in Russia depend on the type of data, the service terms, and the purpose of processing. At SEO Mind42, we separately discuss lawful work with AI tools in Russia, including the boundaries that should be considered when transferring materials to online tools.

When AI helps and when it is better to summarize manually

AI is suitable for large volumes of standard material: articles, educational texts, minutes, lecture transcripts, instructions, or webinars. It speeds up the creation of a draft outline, extraction of key points, preparation of review flashcards, and conversion of long text into a short reference note.

Manual work remains a priority when the material contains complex formulas, drawings, disputed interpretations, confidential data, or critical legal and medical information. In such situations, the task involves not only shortening the text but also deeply understanding the reasoning, context, and consequences.

AI is useful as a first-pass tool. It saves time on routine structuring, but it does not assume responsibility for accuracy. Understanding the topic, checking the source, and final editing remain the responsibility of a person.

Conclusion

  • A high-quality summary begins with a readable and complete source document.
  • Audio and video require transcription, while photos and scans require verification of the OCR text.
  • Choose a free service based on the data format, limitations, and rules for processing information.
  • A precise prompt and verification against the primary source matter more than the name of a particular model.

SEO Mind42 publishes free practical materials about AI, SEO, and working with text. If you use AI tools in education or marketing, study the capabilities of the tools together with their limitations: this produces a more reliable result than trying to hand the entire task over to a model.

FAQ

Which AI tool can create a summary?

A language model that can process text and follow instructions about the response structure can prepare a summary. For photos, audio, and video, text, speech, or prepared transcription recognition will additionally be needed.

How can I create a summary with AI for free?

Prepare the source material, paste the text or upload a supported file, specify the desired length and format, and then check the summary against the original. Free modes may limit the volume and number of processing operations.

Can an AI tool create a summary of a video?

Yes, if the service receives text from the video or if you have subtitles or a speech transcript. The model will then identify the topics, key points, definitions, conclusions, and sequence of the explanation.

Why does AI sometimes produce an inaccurate summary?

The causes may include errors in the source text, poor audio transcription, an illegible photo, an overly general prompt, or the model’s incorrect interpretation of the material. Important information should be checked against the primary source.

Can I upload a lecture or work document to a public AI service?

First assess the document’s content and the service terms. Do not unnecessarily transmit personal data, confidential information, internal materials, or files whose access is restricted by the author or employer.

How does an audio transcript differ from a summary?

A transcript conveys almost the entire speech in text. A summary condenses the material, structures it, and highlights the main ideas, definitions, conclusions, and review questions.

If the free limits are insufficient, access to models through the API can be arranged directly with the vendor or through the Clodex partner service—below is a comparison of official prices and prices through the partner. For example, GPT-5.6 Terra through the partner is 28,6 times cheaper than the official price—the full list of models is in the table.

Model price comparison table
ModelOfficial: input / outputThrough Clodex: input / output
qwen3.6-flashInput: 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-plusInput: 0,5 $ / 1 million tokens
Output: 3 $ / 1 million tokens
Input: 0,032 $ / 1 million tokens
Output: 0,032 $ / 1 million tokens
qwen3.7-plusInput: 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-flashInput: 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-highInput: 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-lowInput: 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-mediumInput: 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-lunaInput: 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-terraInput: 2 $ / 1 million tokens
Output: 12 $ / 1 million tokens
Input: 0,07 $ / 1 million tokens
Output: 0,56 $ / 1 million tokens
deepseek-v4-proInput: 1,32 $ / 1 million tokens
Output: 3,96 $ / 1 million tokens
Input: 0,08 $ / 1 million tokens
Output: 0,08 $ / 1 million tokens
grok-4.5Input: 2 $ / 1 million tokens
Output: 6 $ / 1 million tokens
Input: 0,08 $ / 1 million tokens
Output: 0,08 $ / 1 million tokens
grok-4.6Input: 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-flashInput: 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-flashInput: 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-pro0,075 $ / шт.0,12 $ / шт.
qwen-image-3.0-pro—0,12 $ / шт.
qwen3.7-maxInput: 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-5.5Input: 5 $ / 1 million tokens
Output: 30 $ / 1 million tokens
Input: 0,25 $ / 1 million tokens
Output: 1,5 $ / 1 million tokens
gpt-5.6-solInput: 5 $ / 1 million tokens
Output: 30 $ / 1 million tokens
Input: 0,25 $ / 1 million tokens
Output: 2 $ / 1 million tokens
claude-haiku-4-5Input: 1 $ / 1 million tokens
Output: 5 $ / 1 million tokens
Input: 0,2805 $ / 1 million tokens
Output: 1,4025 $ / 1 million tokens
claude-haiku-4-5-20251001Input: 1 $ / 1 million tokens
Output: 5 $ / 1 million tokens
Input: 0,2805 $ / 1 million tokens
Output: 1,4025 $ / 1 million tokens
claude-opus-4-7Input: 5 $ / 1 million tokens
Output: 25 $ / 1 million tokens
Input: 0,3 $ / 1 million tokens
Output: 1,5 $ / 1 million tokens
claude-sonnet-4-6Input: 3 $ / 1 million tokens
Output: 15 $ / 1 million tokens
Input: 0,34125 $ / 1 million tokens
Output: 1,70625 $ / 1 million tokens
claude-sonnet-5Input: 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-4-8Input: 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-5Input: 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-5Input: 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.

Compare models before you start

The service sets its plans, limits and model catalog. If they differ from this article, contact us so we can update it and record a new review date.

Browse models

Affiliate link: your price stays the same and the project earns a commission.

free AI for making notes

SEO Mind42 editorial team

We explore SEO and neural networks in practice: test services on our own projects, verify prices and limits against primary sources, and share things you can put to use the same day.

📚 Reference guide to SEO and AI 🔄 Materials are updated 🕐 Updated: 3 October 2026

Related reading

All in this section →