# ExplainPaper vs ReadingScan

ExplainPaper records 26,016 monthly visits with -39.3% month-over-month growth and Freemium pricing. ReadingScan records 10,518 monthly visits with +37.5% growth and Freemium (free first analysis; pay-per-report from $14) pricing.

| Metric | [ExplainPaper](https://openaitools.app/tool/explainpaper) | [ReadingScan](https://openaitools.app/tool/readingscan) |
| :--- | :--- | :--- |
| Website URL | https://www.explainpaper.com | https://readingscan.com |
| Categories | AI Research Papers, AI Research Tool, Large Language Models (LLMs), AI Reader | AI Healthcare, AI Reader, AI PDF Summarizer, AI Image Recognition |
| Pricing Model | Freemium | Freemium (free first analysis; pay-per-report from $14) |
| Monthly Visits | 26,016 | 10,518 |
| MoM Growth Rate | -39.3% | +37.5% |
| Primary Market | United States | United States |
| Direct Visits | 9,686 | 2,666 |
| Review Score | 4 | 3.8 |
| Saved Count | 13 | 0 |
| Supported Platforms | Website | Website |

## ExplainPaper

ExplainPaper takes the friction out of reading academic literature. Instead of parsing equations, acronyms, and field-specific jargon alone, you upload a PDF and highlight whatever you don't understand. The tool returns a short, contextual explanation of that passage, and you can dial the complexity up or down to match whether you're a newcomer to the field or an expert skimming for detail.

The explanations are context-aware: the model reads the surrounding paper so a highlighted term is explained in the sense the authors actually meant, not in a generic dictionary sense. You can request answers in more than 50 languages, which makes English-language research accessible to readers worldwide. Beyond highlights, a chat mode lets you ask follow-up questions about the paper and get answers drawn from the document itself, with pointers back to the relevant sections.

ExplainPaper also extracts structure for you. It can produce a smart outline, pull out the key findings and main arguments, and show how concepts in the paper connect. The service is used by a large community of researchers and is offered free with usage limits, with a paid Pro tier that unlocks stronger models, whole-paper summaries, and saved highlights.

**Pricing & Plans:** Freemium. The free tier costs $0 and includes unlimited highlight explanations, follow-up questions, and access to basic AI models. Pro is listed at $16/month and adds explanations powered by a more advanced model, whole-paper summaries, saved highlights and explanations, and paper Q&A, after a 7-day Pro trial that requires a card on file. Confirm current pricing on the provider's pricing page.

- **In-context highlight explanations:** Select any confusing sentence or term and receive an immediate plain-language explanation that accounts for the rest of the paper.
- **Adjustable explanation depth:** Shift the reading level from beginner-friendly to expert-detail so the explanation matches your background.
- **Chat with your paper:** Ask questions and get answers grounded in the document's actual content, with references back to the relevant sections.
- **Auto-generated insights:** Produce a smart outline, key-point extraction, and concept relationship views without reading the entire paper first.
- **50+ explanation languages:** Get explanations in your native language, making English-language research easier for a global audience.

**Strengths:** Explains passages in the context of the whole paper rather than in isolation; Reading-level control makes the same tool useful for novices and experts; Chat mode is grounded in the document, reducing generic or off-topic answers; Supports 50+ explanation languages for global readers

**Limitations:** Free tier is capped, and the strongest models sit behind the Pro plan; Pro trial requires a payment card up front; Not a substitute for careful reading of methods and statistics in high-stakes work

[Profile (Markdown)](https://openaitools.app/tool/explainpaper.md)

## ReadingScan

A radiology report arrives full of findings, and most patients read it before they can get an appointment to discuss it. ReadingScan exists for that gap. You upload the written report, photos of the images, or both through a secure interface, describe in your own words what worries you, and receive a structured explanation in plain English within a few minutes.

The structure is consistent on every report. First, each finding gets one simple sentence and an urgency label. Then it answers the specific concern you typed in and lists what the radiologist checked for and did not find — an intact ACL, no fracture, no bone bruising. Finally, it generates questions written from your own findings to take into your appointment, and opens a follow-up chat that already has the report in context so you can ask what you actually want to know. There are dedicated readers for X-ray, CT, MRI, ultrasound, and PET scans, each glossing the terms most common in those exams.

Stated safeguards matter here because this is health data. Files are encrypted in transit and at rest, you can delete them at any time, they are not sold, and the site says they are never used to train AI models. Uploads the system cannot read with confidence are refused before any AI runs and do not consume a report. ReadingScan is explicit that it is not medical advice, not FDA-cleared or CE-marked, and not for emergencies — it is preparation for a conversation with a clinician, not a substitute for one.

**Pricing & Plans:** ReadingScan is freemium: your first scan analysis is free after signup with no credit card required. After that it is pay-per-report with no subscription. A Full Report is $14, the Doctor Visit Pack is $19 and adds a doctor-ready PDF, a printable question list, and unlimited follow-up questions, and the Care Journey pack is $39 for three complete reports. Payments are one-time, unused reports stay in your account and never expire, and there is a 7-day full refund if the report is not helpful.

- **Plain-English finding translation:** Written findings come back as everyday sentences — for example a meniscus tear becomes 'a small tear at the back of the cushion on the inner side of your knee' — with unfamiliar terms collected in a glossary.
- **Urgency guidance per finding:** Every finding carries a signal such as no concern or worth monitoring, so you know what to raise at your next appointment and what is likely routine.
- **Your concern answered first, plus what was ruled out:** The report opens with the worry you typed in before uploading, answers it directly, then lists what the radiologist looked for and ruled out, such as an intact ACL or no fracture.
- **Doctor questions and follow-up chat:** Question lists are generated from your actual findings rather than a generic checklist, and a follow-up chat already has your report open so nothing needs to be pasted in.
- **Scan-type specific readers:** Full-page, dedicated pages cover X-ray, CT, MRI, ultrasound, and PET reports, each with the terminology that appears most in those exams, from ground-glass opacity to Deauville scores.
- **Privacy-first, structure-enforced analysis:** Unreadable uploads — blurry photos, microscope eyepiece shots, handwritten notes — are rejected before any AI runs, and the description of the image is saved before interpretation so reasoning can be checked afterwards.

**Strengths:** Genuinely plain-language output, with each finding reduced to a single understandable sentence; Tells you what the exam ruled out, which is often as reassuring as the findings themselves; Generates appointment questions from your own report rather than a generic list; No subscription — you pay per report and unused reports never expire

**Limitations:** It is not a diagnostic service and is explicitly not FDA-cleared or CE-marked, so it cannot replace a radiologist or doctor; Not for emergencies — anyone with an urgent symptom should seek care directly rather than upload a report; Individual pricing is per report, so very frequent imaging could add up compared with nothing at all; Report quality depends on how legible your upload is; blurry photos or screen glare cause files to be refused

[Profile (Markdown)](https://openaitools.app/tool/readingscan.md)

## Frequently Asked Questions

### How do ExplainPaper and ReadingScan compare in monthly traffic?

ExplainPaper has 26,016 monthly visits, while ReadingScan has 10,518. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

ExplainPaper has a month-over-month growth rate of -39.3%; ReadingScan has +37.5%.

### How does pricing compare?

ExplainPaper: Freemium. Freemium. The free tier costs $0 and includes unlimited highlight explanations, follow-up questions, and access to basic AI models. Pro is listed at $16/month and adds explanations powered by a more advanced model, whole-paper summaries, saved highlights and explanations, and paper Q&A, after a 7-day Pro trial that requires a card on file. Confirm current pricing on the provider's pricing page. ReadingScan: Freemium (free first analysis; pay-per-report from $14). ReadingScan is freemium: your first scan analysis is free after signup with no credit card required. After that it is pay-per-report with no subscription. A Full Report is $14, the Doctor Visit Pack is $19 and adds a doctor-ready PDF, a printable question list, and unlimited follow-up questions, and the Care Journey pack is $39 for three complete reports. Payments are one-time, unused reports stay in your account and never expire, and there is a 7-day full refund if the report is not helpful.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Semantic Scholar](https://openaitools.app/tool/semantic-scholar) | 8,198,672 | +5.8% | Free | A free, AI-powered academic search engine for 240M+ papers across every scientific field | [.md](https://openaitools.app/tool/semantic-scholar.md) |
| 2 | [SciSpace](https://openaitools.app/tool/scispace) | 4,464,111 | +8.6% | Freemium | AI research platform for reading, understanding and writing scientific papers | [.md](https://openaitools.app/tool/scispace.md) |
| 3 | [Ubie](https://openaitools.app/tool/ubie) | 2,941,054 | -23.2% | Free | Free AI symptom checker developed by doctors | [.md](https://openaitools.app/tool/ubie.md) |
| 4 | [ChatPDF](https://openaitools.app/tool/chatpdf) | 1,044,477 | -3.7% | Freemium | Chat with any PDF, video, or website and get cited answers in seconds | [.md](https://openaitools.app/tool/chatpdf.md) |
| 5 | [ResearchRabbit](https://openaitools.app/tool/researchrabbit) | 831,571 | +3.1% | Free | Map the literature around the papers you love—free | [.md](https://openaitools.app/tool/researchrabbit.md) |
| 6 | [Connected Papers](https://openaitools.app/tool/connected-papers) | 750,576 | +3.1% | Freemium | Explore the academic literature as a visual graph of related papers | [.md](https://openaitools.app/tool/connected-papers.md) |
| 7 | [ScanSkinAI](https://openaitools.app/tool/scanskinai) | 265,770 | -10.9% | Freemium, Paid | Free AI skin and mole scanning with optional dermatologist review | [.md](https://openaitools.app/tool/scanskinai.md) |
| 8 | [0xmd](https://openaitools.app/tool/0xmd-com) | 128,262 | -2.2% | Freemium | Generative AI for medical and everyday health questions | [.md](https://openaitools.app/tool/0xmd-com.md) |
| 9 | [WisPaper](https://openaitools.app/tool/wispaper) | 107,817 | +0.1% | Freemium | Screen thousands of papers down to the studies that matter | [.md](https://openaitools.app/tool/wispaper.md) |
| 10 | [CT Read](https://openaitools.app/tool/ct-read) | 103,157 | -5.8% | Paid | AI analysis that turns X-rays, CT scans, MRI and ultrasound into plain-language reports | [.md](https://openaitools.app/tool/ct-read.md) |

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Source: https://openaitools.app/compare/explainpaper-vs-readingscan

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)