Under Node, pdf.js runs its worker in the server process and keeps it on
a global, and whichever copy of pdf.js opens a document first owns that
global until a restart. The local text read went through pdf-parse, which
pins its own pdfjs-dist 5.4.296; the rasterizer uses the app's 6.4.299. A
text read first made every later rasterization fail with "The API version
does not match the Worker version" (thumbnails raster-failed, the vision
read of a scan 422), and a rasterization first made every later local text
read fail, which left the document out of the search index with nothing in
the logs.
src/lib/documents/pdfjs.ts is now the one place pdf.js is loaded and
opened, with one set of options (asset directories, no eval, no system
fonts). The text read walks the pages with getTextContent and lays the
text out the way pdf-parse did with the options it was called with: line
breaks, tabs between far-apart items, a blank line after each page, the
200-page cap. Text extracted from the PDF fixtures and from generated lab
tables, encrypted files and doctor reports is identical before and after.
A failed text read now emits documents.local_extract.failed with the
error pdf.js threw, and annotates the index event with it, instead of
returning a bare error.
The report tests read PDF text through the same reader. Two tests, one per
order, run a text read and a rasterization in one process; both failed
before this change.
Refs #1277
The local content-extraction reader imported pdf-parse at module top level.
pdf-parse pulls in pdfjs, whose module evaluation references the browser-only
DOMMatrix global; on the server that reference throws during chunk
instantiation and takes down every route sharing the chunk — the document
list, upload, and search among them, so old and new documents alike fail to
load. Move the parser to a lazy import() inside the extraction function
(surface type kept as a type-only import). Verified under plain Node that the
lazy path still extracts a real PDF text layer, so local indexing is
unaffected.
Index a document for content search automatically the moment it is stored,
instead of requiring a manual index action. A fire-and-forget per-document
job runs an AI-first decision tree: when a vision-capable provider is
configured and consented, transcribe the stored original (rich, handles
scanned PDFs and images), budget-reserved exactly like the interactive index
route; otherwise fall back to server-side text-layer extraction via pdf-parse
(no provider, no egress, milliseconds) so content search works at a baseline
even with no AI. Budget exhaustion, a provider that cannot read the file
(a text-layer PDF on a non-Anthropic account), and provider errors all fall
through to the free local path rather than leave a document unsearchable.
Both paths write the same blind, encrypted content index (AES-256-GCM text +
opaque HMAC token tags) — nothing readable at rest. The local path adds the
'local-pdf' / 'local-ocr' source values (free String column, no migration).
Server-side OCR for scanned images and scanned PDFs is left as a documented
seam. Pin pdf-parse + pdfjs-dist into the standalone trace so the wasm text
extractor ships in the runtime image.
Marc-André Bombeck