Free
$0Free plan available.
Seamless is an AI-powered literature review tool designed to accelerate scientific research. It helps users find relevant, up-to-date papers, synthesize findings from multiple sources, and draft literature reviews quickly. It also offers AI-driven scholarship search and essay writing assistance.
Users can input a paper description, and Seamless will generate a literature review based on real papers from the Semantic Scholar database. For scholarship applications, the tool provides AI-powered suggestions for essay structure and content, real-time feedback, and language enhancement.
Seamless searches the Semantic Scholar database of scientific papers and synthesizes relevant findings with your description to create a literature review. This process is powered by large language models like GPT-4.
One credit is consumed for every new literature review generated. For example, 10 credits allow for 10 literature reviews.
Seamless can produce publication-ready literature reviews across various fields, including engineering, computer science, chemistry, biology, law, medicine, pharma, and business.
Each user is limited to 20 queries every 24 hours.
You can cancel your subscription by clicking the "Manage Your Account" button located in the top right corner of your dashboard.
You can email us at founders@seaml.es, and we will respond within 24 hours.
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to Seamless.
Compare GPT 5.4 and GPT 5.4 Pro across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare GPT 5.5 and GPT 5.4 across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare GPT 5.5 and Claude 4.6 Opus across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare GPT 5.5 and Claude 4.6 Sonnet across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
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