面向长篇 PDF 与论文的 AI 研究助手

这是编辑给出的评估,满分 5 分,不是用户打分的平均值。 本页的各方观点由 AI 根据产品信息归纳,不是真实用户的评价。
根据 OpenAITools.app 于 2026-11-11 核对的流量数据,Apollo AI(useapollo.app)是一个收录在 AI Image Generator 下的 AI 平台,月访问量为 0,月度环比流量变化为 -434(-100%)。其主要地理市场为全球(— 流量份额),采用免费增值定价模式。按月流量计算的主要竞争替代方案包括 SciSpace(446.41万次访问/月),Consensus(601.44万次访问/月),Semantic Scholar(819.87万次访问/月)。
读几百页的文献全靠它提炼核心观点,太顶了。
引用的页码都很准确,写论文必备工具。
比普通大模型读PDF靠谱得多,不会瞎编。
偶尔解析排版复杂的公式会有点乱。
以下短评基于实时网页探查、定价机制与同类产品基准由 AI 综合模拟生成,旨在呈现不同使用场景下的常见槽点与亮点,非实名真实用户评价。
上传数百页的论文与报告,几秒内获得摘要、关键结论与针对性回答,无需自己切分文件。
助手自行生成检索式、收集可信来源、交叉核验信息,并输出带引用与参考文献的综合报告。
起草文献综述,并按 APA、MLA、芝加哥、哈佛、IEEE 等格式生成参考文献。
把研究数据转化为柱状图、折线图、饼图和散点图,可直接放进论文或演示文稿。
把冗长讲座和会议视频提炼为要点,并用实时语音模式实现免手研究。
Apollo AI 瞄准的是通用聊天机器人处理不好的场景:阅读并推理数百页的长文档。你上传一份 PDF——论文草稿、技术报告或期刊文章——助手会生成摘要、回答具体问题,并提炼关键结论与数据点。整个流程围绕学术场景设计,因为在学术写作中,引用规范和来源质量与答案本身同等重要。
除了 PDF,Apollo 还打包了多项相关研究工具。深度研究模式会自行构造检索式、收集来源、核验信息,并输出带参考文献的综合报告。文献综述助手与支持 APA、MLA、芝加哥、哈佛、IEEE 格式的引用生成器可以协助写作阶段,图表生成器则把数据转成柱状图、折线图、饼图或散点图,直接用于论文或演示。YouTube 总结功能可以把冗长的讲座和会议视频压缩成可读笔记。
界面还提供实时语音模式,便于边工作边免手操作,并支持英语、阿拉伯语、中文、法语等多种语言。定价为分层模式,从包含有限对话次数和基础 PDF 分析的免费方案起步,方便你在付费前先评估 PDF 引擎的效果。
把自己的草稿与数十篇来源论文一起分析,保持论证一致,并在参考文献变动时重新生成引用。
用深度研究梳理某领域现状,再用文献综述助手把零散笔记整理成带参考文献的结构化章节。
上传讲义、教材或讲座录像,转换成可复习的浓缩笔记。
从长篇技术报告中抽取埋藏的数据与对比,生成图表用于简报或演示。
同一分类下同类 AI 工具的流量并排对比
| 排名 | AI 工具 | 月访问量 | 月度环比增长 | 直接流量占比 | 定价 | 头对头 |
|---|---|---|---|---|---|---|
| ● | Apollo AI | 0 | -100% | — | 免费增值 | 当前产品 |
| 1 | SciSpace | 446.41万 | +8.6% | 29% 直接流量 | 免费增值 | 对比 SciSpace |
| 2 | Consensus | 601.44万 | -1.2% | 49% 直接流量 | 免费增值 | 对比 Consensus |
| 3 | Semantic Scholar | 819.87万 | +5.8% | 23% 直接流量 | 免费 | 对比 Semantic Scholar |
| 4 | Jenni | 149.81万 | +5.2% | 36% 直接流量 | 免费增值 | 对比 Jenni |
| 5 | Paper Digest | 9.72万 | -7.1% | 27% 直接流量 | 免费增值 | 对比 Paper Digest |
| 6 | Readray(原 Lilys AI) | 96.71万 | -9.7% | 45% 直接流量 | 免费增值 | 对比 Readray(原 Lilys AI) |

Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
Jenni is an AI research and academic writing workspace that helps students, researchers, and academics read, write, and cite in one place. Bring in PDFs or import a Zotero or Mendeley library, and Jenni's autocomplete suggests sentences grounded in your own sources, with every suggestion linked to the exact page and paragraph. A built-in writer, AI chat, citation engine covering 10,000+ styles, and a Reviews tool for catching weak or unverified claims make it a full environment for producing cited papers.
Jenni is an AI research and academic writing workspace that helps students, researchers, and academics read, write, and cite in one place. Bring in PDFs or import a Zotero or Mendeley library, and Jenni's autocomplete suggests sentences grounded in your own sources, with every suggestion linked to the exact page and paragraph. A built-in writer, AI chat, citation engine covering 10,000+ styles, and a Reviews tool for catching weak or unverified claims make it a full environment for producing cited papers.
Paper Digest is an AI research platform that summarizes literature, generates literature reviews with citations, and delivers daily digests of new papers across arXiv, PubMed, bioRxiv and major conferences. Launched in 2018 and used by millions of researchers, it combines a citation-backed review engine that avoids inventing results with tools for reading PDFs, writing, question answering, claim verification and topic tracking.
Paper Digest is an AI research platform that summarizes literature, generates literature reviews with citations, and delivers daily digests of new papers across arXiv, PubMed, bioRxiv and major conferences. Launched in 2018 and used by millions of researchers, it combines a citation-backed review engine that avoids inventing results with tools for reading PDFs, writing, question answering, claim verification and topic tracking.
PDF.ai lets you chat with any PDF using AI: upload or open a document and ask questions to get answers with citations, instant summaries and extracted data. The platform also provides a developer API for parsing documents, pulling out structured data and splitting PDFs inside your own workflows.
PDF.ai lets you chat with any PDF using AI: upload or open a document and ask questions to get answers with citations, instant summaries and extracted data. The platform also provides a developer API for parsing documents, pulling out structured data and splitting PDFs inside your own workflows.

ResearchPal is an AI research workspace that searches academic sources, generates citation-backed literature reviews, answers questions from your own PDFs, and helps draft and polish scholarly writing.
ResearchPal is an AI research workspace that searches academic sources, generates citation-backed literature reviews, answers questions from your own PDFs, and helps draft and polish scholarly writing.