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The JavaScript SDK is inherently async (Promise-based). This guide covers concurrent document processing and async job management for long-running operations.

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Concurrent Processing

Process multiple documents simultaneously with Promise.all:

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Parse Multiple Documents

import Reducto from 'reductoai';
import fs from 'fs';

const client = new Reducto();
const files = ["doc1.pdf", "doc2.pdf", "doc3.pdf"];

// Upload all files concurrently
const uploads = await Promise.all(
  files.map(f => client.upload({ file: fs.createReadStream(f) }))
);

// Parse all documents concurrently
const results = await Promise.all(
  uploads.map(upload => client.parse.run({ input: upload.file_id }))
);

console.log(`Processed ${results.length} documents`);

​
Extract from Multiple Documents

const schema = {
  type: "object",
  properties: {
    invoice_number: { type: "string" },
    total: { type: "number" }
  }
};

const uploads = await Promise.all(
  files.map(f => client.upload({ file: fs.createReadStream(f) }))
);

const results = await Promise.all(
  uploads.map(upload => 
    client.extract.run({
      input: upload.file_id,
      instructions: { schema }
    })
  )
);

​
Split Multiple Documents

const splitDesc = [
  { name: "Summary", description: "Executive summary" },
  { name: "Details", description: "Detailed content" }
];

const results = await Promise.all(
  uploads.map(upload =>
    client.split.run({
      input: upload.file_id,
      split_description: splitDesc
    })
  )
);

​
Fill Multiple Forms

const forms = [
  { file: "form1.pdf", instructions: "Fill name with 'Alice'" },
  { file: "form2.pdf", instructions: "Fill name with 'Bob'" },
  { file: "form3.pdf", instructions: "Fill name with 'Charlie'" }
];

async function fillForm({ file, instructions }) {
  const upload = await client.upload({ file: fs.createReadStream(file) });
  return client.edit.run({
    document_url: upload.file_id,
    edit_instructions: instructions
  });
}

const results = await Promise.all(forms.map(fillForm));

​
Rate Limiting

Control concurrency to avoid overwhelming the API: 
async function processWithLimit(files, maxConcurrent = 5) {
  const results = [];
  
  for (let i = 0; i < files.length; i += maxConcurrent) {
    const batch = files.slice(i, i + maxConcurrent);
    const batchResults = await Promise.all(
      batch.map(async (file) => {
        const upload = await client.upload({ file: fs.createReadStream(file) });
        return client.parse.run({ input: upload.file_id });
      })
    );
    results.push(...batchResults);
    console.log(`Processed ${results.length}/${files.length}`);
  }
  
  return results;
}

// Process 100 files, 5 at a time
const results = await processWithLimit(fileList, 5);

​
Async Jobs (runJob)

For documents that take longer to process, use runJob methods to avoid timeouts:

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Start Async Job

// Start job without waiting for completion
const job = await client.parse.runJob({ input: upload.file_id });
console.log(`Job started: ${job.job_id}`);

​
Poll for Completion

async function waitForJob(jobId) {
  while (true) {
    const job = await client.job.retrieve(jobId);
    
    if (job.status === "Completed") {
      return job.result;
    } else if (job.status === "Failed") {
      throw new Error(`Job failed: ${job.reason}`);
    }
    
    console.log(`Status: ${job.status}, Progress: ${job.progress || 0}%`);
    await new Promise(r => setTimeout(r, 2000)); // Wait 2 seconds
  }
}

const job = await client.parse.runJob({ input: upload.file_id });
const result = await waitForJob(job.job_id);

​
All Async Methods

Each endpoint has a runJob variant: 
// Parse
const parseJob = await client.parse.runJob({ input: upload.file_id });

// Extract
const extractJob = await client.extract.runJob({
  input: upload.file_id,
  instructions: { schema }
});

// Split
const splitJob = await client.split.runJob({
  input: upload.file_id,
  split_description: splitDesc
});

// Edit
const editJob = await client.edit.runJob({
  document_url: upload.file_id,
  edit_instructions: "Fill the form"
});

// Pipeline
const pipelineJob = await client.pipeline.runJob({
  input: upload.file_id,
  pipeline_id: "your_pipeline_id"
});

​
Error Handling

Use Promise.allSettled to handle failures gracefully: 
async function batchWithErrorHandling(files) {
  const results = await Promise.allSettled(
    files.map(async (file) => {
      const upload = await client.upload({ file: fs.createReadStream(file) });
      return client.parse.run({ input: upload.file_id });
    })
  );
  
  results.forEach((result, i) => {
    if (result.status === "fulfilled") {
      console.log(`${files[i]}: ${result.value.usage.num_pages} pages`);
    } else {
      console.error(`${files[i]}: Failed - ${result.reason}`);
    }
  });
  
  return results;
}

​
When to Use Async Jobs

Use runJob When

Processing large documents (50+ pages), running long extract operations, or integrating with webhooks.

Use run When

Processing small documents, need immediate results, or simple scripts where waiting is acceptable.

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Next Steps