Read a document
Parse a URL document into Markdown for analysis.
/oo PDF Vector: Parse document [public URL] into Markdown, then summarize its sections and notable tables.
Ask your AI assistant to work with PDF Vector: read Documents and Extract Structured Fields.
Copy a prompt into your agent with the oo Skill installed. Add your page links and source notes before running it.
Parse a URL document into Markdown for analysis.
/oo PDF Vector: Parse document [public URL] into Markdown, then summarize its sections and notable tables.
Use a prompt and JSON schema to guide field extraction.
/oo PDF Vector: Extract fields from [public document URL] using prompt [instructions] and schema [JSON schema]. Report missing fields rather than inventing values.
Set up oo CLI and the oo Skill in your agent.
Install OOMOL →Connect using your PDF Vector API Key.
Connect PDF Vector →Use /oo with the pages to read, the changes to make, and where to save the result.
Connection Guide →Choose Your Agent
PDF Vector processes publicly reachable document URLs into Markdown, document answers, or schema-shaped JSON.
Parse a URL document into Markdown for analysis.
Use a prompt and JSON schema to guide field extraction.
Parse a document from a public URL into Markdown with PDF Vector.
pdf_vector.parse_document Ask a question about a document available at a public URL with PDF Vector.
pdf_vector.ask_document Extract structured JSON matching a supplied schema from a document at a public URL with PDF Vector.
pdf_vector.extract_document No matching tools.
These actions take a public documentUrl. Make the file accessible by URL first.
ask_document accepts documentUrl and question directly.
Specify how missing values should be handled and review the returned JSON against the source document.
Manage which optional storage OOMOL can use. You can change these choices from the footer at any time.