dorsalhub-adapters 0.4.1

Export validated JSON to standard formats.

Dorsal Adapters translates schema-validated JSON records into a number of standard file formats.

Supported Formats

Document Extraction (open/document-extraction)

• md: RAG-Optimized Markdown — Injects semantic headings into the text for LLM consumption.
• html: Semantic HTML (.html) — Renders a responsive, visually inferred 2D DOM layout from raw spatial coordinates.
• hocr: hOCR (.hocr.html) — An industry-standard OCR output format embedding layout, confidence scores, and style information in standard HTML.
• tsv: Tab-Separated Values — Perfect for spreadsheet ingestion and tabular data analysis.
• txt: Plain Text — Flattens the document layout into clean, stitched paragraphs.

Audio Transcription (open/audio-transcription)

• srt: SubRip Text (.srt) — The most widely used plaintext subtitle format.
• vtt: WebVTT (.vtt) — The W3C standard web subtitle format for HTML5 video players.
• md: RAG-Optimized Markdown — Merges speaker tags, non-verbal events (e.g., [laughter]), and low-confidence warnings into clean markdown.
• tsv: Tab-Separated Values — Organizes segments, start/end times, and speakers into a neat table.
• txt: Plain Text — A continuous, readable transcript.

arXiv Metadata (dorsal/arxiv)

• bib: BibTeX (.bib) — Standard bibliographic reference format.
• csl-json: CSL-JSON (.json) — Standard bibliographic reference format.
• ris: RIS (.ris) — Standard bibliographic reference format.
• md: RAG-Optimized Markdown — YAML frontmatter (ID, DOI, Categories, Year) and markdown formatting for ingestion into PKMs or RAG pipelines.

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Installation

Dorsal Adapters is available on PyPI as dorsalhub-adapters:

pip install dorsalhub-adapters

Usage

Within Dorsal

Dorsal Adapters is a core dependency for Dorsal.

Example: using --export to generate a subtitle file:

$ dorsal run dorsalhub/whisper /home/video/test.mkv --export=srt
1
00:00:01,970 --> 00:00:05,970
You might be wondering how I ended up in this situation.

2
00:00:05,970 --> 00:00:08,970
Yeah that's me. A young subtitle.

3
00:00:08,970 --> 00:00:18,590
Little did I know what life had in store for me.


Outputs saved successfully:
  ↳ /home/user/sandbox/test.dorsal.json
  ↳ /home/user/sandbox/test.srt

• --export can take the ID of adapter for a given output schema (e.g. md for Markdown or txt for text).

Example 2: using --export to generate a BibTeX citation from an ArXiv preprint:

$ dorsal run dorsalhub/arxiv-pdf ./examples/9304001v1.pdf --export=bibtex
@misc{solv-int_9304001,
  title = {q-Discrete Toda Molecule Equation},
  author = {Kenji Kajiwara and Yasuhiro Ohta and Junkichi Satsuma},
  eprint = {solv-int/9304001},
  archivePrefix = {arXiv},
  primaryClass = {solv-int},
  doi = {10.1016/0375-9601(93)90705-5},
  url = {https://arxiv.org/abs/solv-int/9304001},
  year = {1993}
}
Outputs saved successfully:
  ↳ /home/user/sandbox/arxiv-pdf/9304001v1.dorsal.json
  ↳ /home/user/sandbox/arxiv-pdf/9304001v1.bib

Standalone Usage

Adapters are Python classes with methods for exporting to and parsing from the supported file formats:

• export(record) / export_file(record, fp): Converts a JSON record into a standard format.
• parse(content) / parse_file(fp): Best-effort conversion from a standard format back into a Dorsal JSON Record.

Example: Audio to Subtitles (SRT)

In this example, a valid open/audio-transcription record is converted into a subtitle file.

from dorsal_adapters.registry import get_adapter

# 1. The raw JSON record from your model
transcription = {
    "track_id": 1,
    "language": "eng",
    "segments": [
        {
            "start_time": 0.5,
            "end_time": 4.75,
            "text": "Welcome back! Today, my guest is the renowned chef, Jean-Pierre."
        }
    ]
}

# 2. Retrieve the adapter for the schema and target format
adapter = get_adapter("audio-transcription", "srt")

# 3. Export to the target format (.srt)
srt_string = adapter.export(transcription)
print(srt_string)

# 4. Parse the formatted string back into a Dorsal record
parsed_record = adapter.parse(srt_string)

Tip: You can programmatically check what formats are supported for a given schema using list_formats:

from dorsal_adapters.registry import list_formats
print(list_formats("document-extraction"))

Contributing

We welcome contributions! If you have written a translation script for an Open Validation Schema, please open a PR.

License

Dorsal Adapters is open source and provided under the Apache 2.0 license.