Quickstart

pip install flexorch-sdk

from flexorch_sdk import FlexOrch

client = FlexOrch(api_key="dfx_your_key_here")

job = client.jobs.upload("invoice.pdf")
print(job.id)  # job_abc123

result = job.wait_until_done(timeout=120)

print(result.status)         # "completed"
print(result.quality_grade)  # "A"
print(result.pii_count)      # 3
print(result.detected_language)  # "tr"

dataset = client.datasets.build(job_ids=[job.id])

# Export as JSONL for fine-tuning
client.datasets.export(dataset.id, format="jsonl", path="./output.jsonl")

# Or export as Parquet for analytics
client.datasets.export(dataset.id, format="parquet", path="./output.parquet")

npm install flexorch-sdk

import { FlexOrch } from 'flexorch-sdk';

const client = new FlexOrch({ apiKey: 'dfx_your_key_here' });

const job = await client.jobs.upload('invoice.pdf');
const result = await job.waitUntilDone({ timeout: 120_000 });

console.log(result.qualityGrade);  // "A"
console.log(result.piiCount);      // 3

const dataset = await client.datasets.build({ jobIds: [job.id] });
await client.datasets.export(dataset.id, { format: 'jsonl', path: './output.jsonl' });

curl -X POST https://api.flexorch.com/v1/data-process/async \
  -H "X-API-KEY: dfx_your_key_here" \
  -F "files=@invoice.pdf"

{
  "data": {
    "job_ids": ["job_abc123"],
    "status": "queued"
  }
}

curl https://api.flexorch.com/v1/jobs/job_abc123 \
  -H "X-API-KEY: dfx_your_key_here"

# Build
curl -X POST https://api.flexorch.com/v1/datasets \
  -H "X-API-KEY: dfx_your_key_here" \
  -H "Content-Type: application/json" \
  -d '{"name": "my-dataset", "execution_ids": ["exec_xyz"]}'

# Export (returns a file download)
curl https://api.flexorch.com/v1/datasets/{id}/export?format=jsonl \
  -H "X-API-KEY: dfx_your_key_here" \
  -o output.jsonl