Transformez vos fichiers en contenu structuré.

import { CloudRakerClient } from "@cloudraker/api";

const client = new CloudRakerClient({ token: "YOUR_API_KEY" });

// 1 - Read the file. Routing is automatic; override it when you know better.
const run = await client.parse({
  body: { file: { url: "https://example.com/rate-filing.pdf" } },
});

console.log(run.output?.markdownUrl); // rendered markdown, time-limited URL
console.log(run.output?.jsonUrl);     // blocks, page, and position

// 2 - Every block carries the rectangle it came from
const parsed = await client.fetch(run.output!.jsonUrl);
for (const block of parsed.blocks) {
  console.log(block.type, block.page, block.bbox, block.text.slice(0, 60));
}

// 3 - The read is attached to the file, not the call. No second parse.
const data = await client.extract({
  body: {
    files: [{ id: run.file.id }],
    schema: {
      type: "object",
      properties: { effective_date: { type: ["string", "null"] } },
    },
    citations: true,
  },
});
console.log(data.output?.value);

from cloudraker.client import CloudRaker

client = CloudRaker(token="YOUR_API_KEY")

# 1 - Read the file. Routing is automatic; override it when you know better.
run = client.parse(file={"url": "https://example.com/rate-filing.pdf"})

print(run.output.markdown_url)  # rendered markdown, time-limited URL
print(run.output.json_url)      # blocks, page, and position

# 2 - Every block carries the rectangle it came from
for block in client.fetch(run.output.json_url)["blocks"]:
    print(block["type"], block["page"], block["bbox"], block["text"][:60])

# 3 - The read is attached to the file, not the call. No second parse.
data = client.extract(
    files=[{"id": run.file.id}],
    schema={
        "type": "object",
        "properties": {"effective_date": {"type": ["string", "null"]}},
    },
    citations=True,
)
print(data.output.value)