Skip to main content

lens-qda

Python utilities for LENS, a local-first qualitative data analysis (QDA) desktop application.

This package bundles the same PDF text-extraction pipeline that the LENS desktop app uses to ingest PDF documents, exposing it as a small CLI so it can also be used directly from Python or from shell scripts.

Install

pip install lens-qda

Requires Python 3.8+ and the prebuilt wheels for pdfplumber and its dependencies (cryptography, pillow, pdfminer.six, ...) on PyPI; no compiler is needed on supported platforms.

CLI usage

# Print plain text extracted from a PDF (one paragraph per page):
lens-qda extract path/to/paper.pdf

# Emit the same JSON envelope the LENS desktop sidecar produces:
lens-qda extract paper.pdf --json

# Save the extracted text to a file:
lens-qda extract paper.pdf -o paper.txt

# Tune pdfplumber's tolerances (defaults match the sidecar):
lens-qda extract paper.pdf --x-tolerance 3 --y-tolerance 3

The --json schema matches the contract the LENS Tauri sidecar already implements:

{ "success": true, "text": "...all pages, joined by blank lines..." }

On failure:

{ "success": false, "error": "<exception message>" }

(the process exits with status 1 in that case).

Programmatic usage

from pathlib import Path
import json, subprocess

result = subprocess.run(
    ["lens-qda", "extract", "paper.pdf", "--json"],
    capture_output=True, text=True, check=True,
)
envelope = json.loads(result.stdout)
assert envelope["success"], envelope["error"]
corpus = envelope["text"]

License

MIT — same as the parent LENS project.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lens_qda-0.2.5.tar.gz (8.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

lens_qda-0.2.5-py3-none-any.whl (6.8 kB view details)

Uploaded Python 3

File details

Details for the file lens_qda-0.2.5.tar.gz.

File metadata

  • Download URL: lens_qda-0.2.5.tar.gz
  • Upload date:
  • Size: 8.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for lens_qda-0.2.5.tar.gz
Algorithm Hash digest
SHA256 25c1a89ea21e6075ce9fc1a95ccafbcff18cd3946da66955cc03fa83189b1469
MD5 98cb1d3beb953193b5345c2fabfecf9e
BLAKE2b-256 bcc49c14fa4cd2a76eaa6c6f928996c7542e339e64b619a658f20fb0632b4d46

See more details on using hashes here.

Provenance

The following attestation bundles were made for lens_qda-0.2.5.tar.gz:

Publisher: release.yml on mabo-du/lens

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file lens_qda-0.2.5-py3-none-any.whl.

File metadata

  • Download URL: lens_qda-0.2.5-py3-none-any.whl
  • Upload date:
  • Size: 6.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for lens_qda-0.2.5-py3-none-any.whl
Algorithm Hash digest
SHA256 82b55c4843a2693730cc6feabed8543af95512fadf16e45a2292eb7580897440
MD5 ebf81804361c3930b568f3c0e7a9c8e2
BLAKE2b-256 832d5134f5f071266e0e07f4d6cbf857c586015e3d3699971b763d025750ad37

See more details on using hashes here.

Provenance

The following attestation bundles were made for lens_qda-0.2.5-py3-none-any.whl:

Publisher: release.yml on mabo-du/lens

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page