DeepResearch provides reports in multiple formats to accommodate different workflows and use cases. The primary output options include plain text, Markdown, PDF, and HTML. Plain text is the most basic format, offering raw, unformatted content that’s easy to integrate into scripts, emails, or other text-based systems. Markdown is a popular choice for developers, as it supports lightweight formatting (like headers, lists, and code blocks) and works seamlessly with documentation platforms like GitHub or static site generators. PDFs are ideal for sharing polished, print-ready reports with stakeholders, while HTML outputs allow for embedding reports directly into web applications or custom dashboards.
In addition to these core formats, DeepResearch supports structured data outputs like JSON and CSV for scenarios requiring programmatic access or data analysis. JSON is useful for developers building integrations or parsing report data via APIs, as it provides a machine-readable structure with key-value pairs. CSV simplifies importing data into spreadsheets or databases for further analysis. Some users might also have access to LaTeX or Microsoft Word exports, depending on their subscription tier, which are valuable for academic or formal business documentation. Custom templates can often be applied to formats like PDF or HTML to align with brand guidelines or specific formatting requirements.
The platform emphasizes flexibility, allowing users to generate reports in multiple formats simultaneously or switch between outputs based on their needs. For example, a developer might generate a Markdown version for internal documentation, a PDF for external stakeholders, and a JSON feed to power a dashboard. Outputs are typically generated via the web interface, API, or CLI, ensuring compatibility with automated pipelines. This range of options ensures that teams can leverage DeepResearch’s insights in their preferred tools without manual reformatting.