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PrimeCut.ingest(...) and PrimeCut.collect(...) return PomaResult.

Result shape ​

python
from poma import PrimeCut

client = PrimeCut()
result = client.ingest("example.pdf")

print(type(result.chunks[0]).__name__)
print(type(result.chunksets[0]).__name__)
print(result.images.keys())

PomaResult contains:

  • chunks: a list of PomaChunk
  • chunksets: a list of PomaChunkSet
  • images: a dictionary of extracted images as base64 data URIs

What's inside a .poma archive? ​

For the full embedded archive breakdown, see PomaArchive. That reference page includes the interactive archive explorer and shows which files are core to the SDK versus broader processing artifacts.

Reopen a saved .poma archive ​

python
from poma import PomaArchive

archive = PomaArchive(path="store/example.poma")
result = archive.unpack()

You can also build PomaArchive from in-memory bytes:

python
archive = PomaArchive(data=raw_poma_bytes)
result = archive.unpack()

You can also unpack directly from bytes or a path:

python
from poma import unpack

result = unpack("store/example.poma")

Converting to dictionaries ​

python
chunk_dict = result.chunks[0].to_dict()
chunkset_dict = result.chunksets[0].to_dict()

Use file_id for document identity. The older tag field is deprecated.