# Humata: reviews and analysis > Upload a PDF, ask in plain language and it answers citing the pages each claim comes from. - Canonical: https://serchai.com/en/reviews/humata/ - Site: Serchai (https://serchai.com) — AI tools comparator - Language: en - Updated: 2026-08-03 --- ## Verdict Humata is one of the most direct tools in this segment: you upload the PDF, you ask, and it answers pointing at the page. That pointing is what saves it, because a published study of six undergraduates found the reliability of its analysis is not consistently appropriate, and with the citation right there you can check in seconds. What to look at before paying is not the fee but the counter: the free plan is 60 pages a month and the cheapest one on the public table 500, and past that every extra page is billed separately. Character recognition, the thing that saves a scan, does not arrive until the team plan. **Best for:** Students and researchers who read other people’s documents daily and want the answer with the page in front of them to check it. **Rating:** 3.1/5 ## Pros - Every answer points to the page of the document it came from - The cheapest plan on the public table is $9.99 a month, among the most affordable in this segment - Works the same on a single PDF and on a whole folder ## Cons - You pay by the page: 60 free a month, 500 on the $9.99 plan and $0.02 per extra page - Optical character recognition only arrives with the team plan, so scans fare worse on the lower tiers - The published study that measured it attributes uneven analysis to it, though across only six students ## Key facts - Price: Permanent free tier + paid from 9.99 USD - Free trial: No - Platforms: Web - Categories: [Assistants](https://serchai.com/en/best-ai/assistants/) - Official website: https://www.humata.ai ## What the internet says (agentic sweep) Humata does one thing and does it without ceremony: you upload a PDF, you ask, and it answers pointing at the page, with page-level references documented in its own API. That pointing is what holds the tool up, and also what exposes it, because the hardest signal we found is not a review but a study published in the ELLITE journal with six undergraduates who used it to write critical journal reviews. Its conclusions grant that it helps interpret and evaluate scientific papers, and at the same time name three flaws: excessive dependence on technology, analytical reliability that is not consistently appropriate, and doubts about the originality of the student's own work. It is worth taking for what it is, six people at one university, which the article itself admits. The University of Cincinnati library guide arrives at a similar warning by another route, noting that students work directly with the tool so no teacher intervention filters out inaccuracies or biases. The complaint that repeats most is the billing model, which counts pages rather than conversations: 60 a month on the free plan and 500 on the cheapest one on the public table, and past that every extra page costs $0.02. The clearest plan limit is optical character recognition, which the pricing table itself leaves out of the two lower tiers, and that puts scans in a bad place exactly where the price is lowest. Watch the figures in circulation: that same university guide publishes a team plan at $99.99 that does not exist on the official site today, where the equivalent tier is $49 per user. - Sweep date: 2026-08-03 - Derived score: 3.1/5 ### Axes - Results: 3.4/5 - Control: 3.2/5 - Real price: 3/5 - Integration: 2.8/5 - Support: 3.2/5 ### Recurring themes in favor - Every answer points at the section or page of the document it came from, and checking it takes one click (strong theme) - The cheapest plan on the public table is $9.99 a month, among the most affordable ways to question your own documents (strong theme) - A published study with undergraduates records that it improves the interpretation and evaluation of scientific papers (present theme) - Uploading a document and starting to ask has no learning curve: the interface asks you to learn nothing (present theme) ### Recurring themes against - You pay by the page rather than by usage: 60 a month on free, 500 on the $9.99 plan and $0.02 for every page beyond (strong theme) - The same study that praises it points out that the reliability of its analysis is not consistently appropriate, on a sample of six students (strong theme) - Optical character recognition does not appear until the team plan, so scans fare worse on the lower tiers (strong theme) - Its own FAQ mentions a student plan that has no card and no price on the public table (present theme) - A university library warns that students work directly with the tool, with nobody filtering out inaccuracies or biases (present theme) - The price figures circulating in guides and reviews are out of date against the official site today (present theme) ### Sweep sources - [Official pricing] https://www.humata.ai/pricing — Página oficial de precios, leída dos veces de forma independiente sobre el HTML servido. No tiene JSON-LD ni declara código de divisa en ninguna parte: solo imprime el glifo del dólar, y las dos lecturas lo comprobaron por separado. No hay conmutador mensual/anual, así que todos los periodos impresos son mensuales. Los planes son cuatro: «Free» a «$0» con «Basic features for up to 60 free pages of use», «Expert» a «$9» «99» «/ month» con 500 páginas al mes y hasta tres usuarios, «Team» a «$49» «/ user / month» con 5.000 páginas y hasta diez usuarios, y «Enterprise» con la palabra «custom» y sin cifra. Las páginas de más se cobran a «$0.02 / page» en Expert y «$0.01 / page» en Team. El céntimo va en superíndice, así que en el HTML la cifra son tres nodos separados y no aparece la cadena «9.99» literal, cosa que las dos lecturas anotaron igual. La FAQ menciona un plan «Student» que no tiene tarjeta ni precio en la página, así que ese escalón no se publica. La fila de reconocimiento óptico de caracteres de la tabla comparativa está vacía en «Free» y en «Expert» y marcada en «Team» y «Enterprise», que es el límite de plan más claro del producto - [Press] https://ejurnal.unmuhjember.ac.id/index.php/ELLITE/article/view/3049 — Nst, A. R. y Dewi, U., «Undergraduate Students' Perception of Humata AI as A Writing Tool for Critical Journal Review (CJR)», en ELLITE: Journal of English Language, Literature, and Teaching, 2025. Estudio cualitativo con entrevistas semiestructuradas a seis estudiantes de una universidad. Es la única fuente académica del expediente y la que más pesa, porque no evalúa la herramienta desde fuera sino a partir de gente que la usó para un trabajo real. Concede que «facilitated a more effective interpretation and evaluation of scientific papers» y le encuentra tres defectos que cita literalmente: «excessive dependence on technology, the reliability of analytical results that are not consistently appropriate, and concerns over the originality of student work». Su conclusión es que el uso «must be complemented by traditional learning methods». Dos salvedades honestas: la muestra son seis estudiantes de una sola universidad, y el propio artículo admite que «the restricted sample size is a limitation of the research since the findings cannot be broadly generalized». Además, el DOI que imprime no resuelve hoy, aunque el artículo sí está servido por la revista y su política declara revisión doble ciega - [Review sites] https://guides.libraries.uc.edu/ai-education/hu — Guía de las bibliotecas de la Universidad de Cincinnati, escrita para orientar a su comunidad sobre herramientas de IA en educación. Describe la herramienta como «An AI tool for text-based files that helps students to understand complex research paper or articles» y le reconoce que «Cites relevant sections from the uploaded documents». El aviso que aporta y que no sale en ninguna reseña comercial es este: «Students are intended to work directly with this tool so there is no teacher intervention that can filter out potential inaccuracies or biases». También avisa del contador, «It has page limits for the premium plans» y «After the limit is exceeded, you need to pay for each page». Sus cifras de precio, en cambio, están desfasadas: publica «$99.99/month for a user limit of 25», un escalón que hoy no existe en la web oficial. Sirve como señal de que las guías no siguen el ritmo de los cambios de tarifa, no como fuente de precio - [Review sites] https://www.wpcrafter.com/review/humata-ai/ — Reseña con prueba de manos firmada por Adam Preiser, con fecha de actualización de 18 de noviembre de 2024. Puntúa por apartados y le baja la nota justo en precisión, 3,5 sobre 5, frente a 4 y 4,5 en el resto. Su aportación firme es el límite de plan, «OCR capabilities only available on higher-tier plans», que coincide con lo que dice la tabla de precios oficial. Recoge además una queja de un usuario de Product Hunt según la cual la herramienta «does not read your PDFs properly» tras varias subidas, y sobre el bolsillo escribe que los planes premium son «quite expensive, especially for those who exceed the page limits». Hay que anotar dos cosas antes de apoyarse en ella. El sitio declara en su pie que monetiza por afiliación, así que independiente de Humata sí, desinteresada no. Y su viñeta «May struggle with technical or legal texts» está en condicional y sin prueba detrás, porque lo que probó fue un texto divulgativo, así que aquí no se publica como hecho > **TLDR:** Humata is one of the most direct ways to question a document you did not write. Upload the PDF, ask in plain language, and the answer comes back with the page pointed out, which is what lets you check it in seconds. The cheapest plan on its public table is $9.99 a month, but what decides whether it suits you is the page counter, not the fee. A published study with undergraduates found its analysis uneven, and the character recognition that rescues a scan does not arrive until the team plan. ## What Humata is and how it works Humata solves one very specific problem: you have a long PDF somebody else wrote and you need something out of it without reading the whole thing. A thirty-page paper, a report, a set of minutes. You upload the file, the tool processes it, and from there you hold a conversation with it. The format its documentation talks about is PDF, so if your material lives in other formats it is worth checking before you subscribe. What separates this from pasting text into any assistant is the anchoring. Every answer points at the part of the document it came from, so verification does not rest on your trust in the model but on a glance at the page. University libraries that have assessed it single out exactly that among its strengths, that it cites the relevant sections of the uploaded documents. There is more underneath than the interface suggests. Its own API documentation describes answers carrying references to the part of the document used, page number included, and exposes ingestion and file status as separate steps. That is retrieval over your own document with a trail down to the page, which is the difference between a document tool and a text box under another name. That machinery also explains its limits: if the file is a bad scan, what gets read is rubbish and the answer shows it. It also handles several documents at once, and that is where it stops being a reading toy and starts being work equipment. You can question a whole folder and ask it to cross-check what the different files say about the same point. ## What using it is like day to day The first session has no learning curve. There is nothing to configure, no model to pick, no need to understand what a chunk is. You upload and you ask, and that is probably its biggest merit against alternatives that demand decisions before the first answer. What is worth internalising from minute one is that nothing here counts time or conversations. It counts pages. Every document you upload deducts as many pages as it has. A couple of scientific papers with appendices eats most of a month's allowance on the free plan, and when the counter runs out the tool does not slow down, it starts charging per loose page. On answer quality it is worth being honest about what has actually been measured. The most serious signal is not a review but a study published in the academic journal ELLITE, with six undergraduates who used it to write critical journal reviews. Its authors conclude it helped them interpret and evaluate scientific texts more effectively, and at the same time name three flaws worth reading before paying: excessive dependence on technology, analytical results whose reliability is not consistently appropriate, and doubts about the originality of the student's own work. Their closing recommendation is not to stop using it, it is not to use it alone. The University of Cincinnati library guide arrives at a similar warning by another route, and for a buyer it is the most actionable of the lot: students work directly with the tool, with nobody filtering out inaccuracies or biases. Translated into any trade, if you are going to rest a decision on what it answers, the step of checking the page is not optional. A hands-on review, from a site that monetises through affiliate links and is worth reading in that light, marks it down precisely on accuracy and agrees with the official table on the limit that weighs most: optical character recognition does not appear until the team plan. That leaves scanned documents in an awkward limbo on precisely the two cheapest tiers. ## Pricing and plans There is a permanent free plan, and it is enough to genuinely try the thing rather than just look at it: 60 pages a month and one user. That covers a couple of short documents end to end and shows you whether the workflow fits. The cheapest paid plan on the public table is Expert, from $9.99 a month, with 500 pages a month and up to three users. It is among the most affordable in this segment, and that is the main reason many people land here instead of on a pricier research notebook. The next step up, Team, is $49 per user per month with 5,000 pages and up to ten users, which is a long jump. It is also where character recognition appears, absent from the two plans below. The small print to read is the extra pages. Past the allowance, Expert charges $0.02 per additional page and Team $0.01. It is not a punitive rate, but it turns a flat fee into a variable bill, and anyone processing large folders should do that arithmetic in advance rather than afterwards. The page declares no currency code anywhere and has no selector, so what the vendor publishes is the dollar and nothing else. A warning about the figures floating around online. Several guides and reviews still publish tiers that do not exist on the official site today, starting with a team plan at $99.99. And there is a middle case worth telling properly: the student plan does exist, because the pricing page's own question section mentions it, but it has no card and no published figure. The $1.99 that keeps circulating comes from a university guide rather than the vendor, so if you are chasing the academic discount, ask before counting on it. ## Who it is for (and who it is not for) Humata is for people who read other people's documents daily and want checkable answers without setting anything up. Postgraduate students, people reviewing technical reports, professionals who need to find one clause inside a long contract. If your volume is a handful of documents a month and you value simplicity over control, it fits. It is not for anyone working with scans or poor typography who does not want to climb to the team plan, because that is where the character recognition that would save them lives. Nor is it for anyone processing huge folders continuously, because per-page billing turns that pattern into the expensive part of the bill. And it is not for anyone who needs the material to stay on their own machine. That question is better answered by [AnythingLLM](https://serchai.com/en/reviews/anythingllm/), which installs wherever you say. If you want a notebook that cross-references sources of every kind and summarises with judgement, look at [NotebookLM](https://serchai.com/en/reviews/notebooklm/), and if your material is scientific papers and you also want to find them, there are [Elicit](https://serchai.com/en/reviews/elicit/) and [SciSpace](https://serchai.com/en/reviews/scispace/). The full map is in the [best AI assistants](https://serchai.com/en/best-ai/assistants/). ## Alternatives to Humata The natural comparison is a research notebook such as NotebookLM, which does not charge by the page and takes sources that are not files, though it ties you to its ecosystem in return. Anyone who wants the same work done without handing over the documents has the option of running it at home instead. The full run-through, with the criteria for each case, is in the [alternatives to Humata](https://serchai.com/en/alternatives/humata/). ## Frequently Asked Questions ### How much does Humata cost per month? The cheapest paid plan on the public table is $9.99 a month and includes 500 pages and up to three users. There is a permanent free plan with 60 pages a month, and pages above the allowance are billed at $0.02 each on that plan. ### What does billing by pages mean? That the unit of consumption is neither time nor the number of questions, but the pages of the documents you upload. A hundred-page PDF spends a hundred, no matter how much you ask about it afterwards. ### Does it work on scanned documents? With reservations. Optical character recognition does not appear until the team plan, so on the two plans below a poor scan gives worse answers than the same text in digital form. ### Can you trust its answers? With the check in front of you, yes. A published study with undergraduates attributes uneven analytical reliability to it, and a university guide warns that nobody filters the inaccuracies for you. That is why it matters that every answer points at a page. ### Is there a student discount? The student plan exists and the pricing page's own question section mentions it, but it has no card and no published figure. The $1.99 in circulation comes from a university guide rather than the vendor, so it is worth confirming before counting on it. ## Alternatives - [NotebookLM](https://serchai.com/en/reviews/notebooklm/) — The research notebook that answers only from your own documents, with the citation attached. (4.1/5) - [SciSpace](https://serchai.com/en/reviews/scispace/) — Question your own PDFs and a paper pool the vendor declares at 280 million, from one screen. (3.1/5)