losLab PDF Library oferece a equipes Delphi e C++Builder um mecanismo PDF com codigo-fonte disponivel para fluxos desktop, servidor, DLL, ActiveX e Dylib, com verificacoes PDF/A e PDF/UA integradas, suporte PAdES e opcoes de renderizacao sem servico PDF externo.
Este artigo é para teams building PDF analysis, migration, search, evidence capture, or support-inspection tools. Ele trata text, image, and font extraction como engenharia documental de produção, não como uma chamada isolada de componente.
O risco prático é que extraction output is easy to over-trust even though PDF content order, font encoding, image color spaces, and page resources rarely match user-visible reading order exactly. Por isso o fluxo precisa de contrato escrito, diagnósticos observáveis e arquivos de regressão representativos.
Decisões de arquitetura
Separate extraction facts from interpretation. whether output needs visual order, content-stream order, or search-oriented order / image extraction format, color conversion, compression retention, and naming
- whether output needs visual order, content-stream order, or search-oriented order
- image extraction format, color conversion, compression retention, and naming
- font subset naming, encoding diagnostics, and missing ToUnicode handling
- confidence flags for OCR layers, hidden text, clipped content, and rotated pages
Fluxo de implementação
Preserve page and resource context. The order below keeps the workflow reviewable for Delphi and C++Builder teams.
- scan page resources and content streams while preserving object references
- extract text runs with coordinates, font identity, Unicode mapping, and style signals
- extract images with page location, dimensions, color space, and original object data when needed
- classify fonts by subset, embedded status, and encoding behavior
- produce an analysis report that distinguishes facts from inferred reading order
Evidências de validação
Extraction evidence that remains explainable. Keep these fields with the output or support record.
- page number, object reference, coordinates, decoded text, font, and confidence
- image size, color space, compression, mask, and export filename
- font subset name, embedded state, encoding map, and ToUnicode status
- warnings for hidden, clipped, rotated, or overlapping content
Extracted text is not always authored text
A professional extraction workflow should record where each text run, image, and font resource came from, how it was decoded, and which assumptions were used to group it into searchable or reviewable content.
Support package design
Once PDFlibPas is deployed, the most valuable support package is the one that explains the input, profile, output, and exact stage that failed.
- page number, object reference, coordinates, decoded text, font, and confidence
- image size, color space, compression, mask, and export filename
- font subset name, embedded state, encoding map, and ToUnicode status
- warnings for hidden, clipped, rotated, or overlapping content
- terminology snapshot: text extraction, image extraction, font resource, ToUnicode
Engineering review notes for text, image, and font extraction
Use these review notes to make sure the feature has moved beyond a demo and can be defended during release, support, and customer escalation.
- Decision: whether output needs visual order, content-stream order, or search-oriented order. Implementation pressure point: extract text runs with coordinates, font identity, Unicode mapping, and style signals. Acceptance evidence: font subset name, embedded state, encoding map, and ToUnicode status. Regression trigger: OCR layers can contain stale or misaligned text over scanned pages
- Decision: image extraction format, color conversion, compression retention, and naming. Implementation pressure point: extract images with page location, dimensions, color space, and original object data when needed. Acceptance evidence: warnings for hidden, clipped, rotated, or overlapping content. Regression trigger: PDF drawing order may not equal human reading order
- Decision: font subset naming, encoding diagnostics, and missing ToUnicode handling. Implementation pressure point: classify fonts by subset, embedded status, and encoding behavior. Acceptance evidence: page number, object reference, coordinates, decoded text, font, and confidence. Regression trigger: ligatures and custom encodings can make copied text differ from visible text
- Decision: confidence flags for OCR layers, hidden text, clipped content, and rotated pages. Implementation pressure point: produce an analysis report that distinguishes facts from inferred reading order. Acceptance evidence: image size, color space, compression, mask, and export filename. Regression trigger: images may be masks, soft masks, or repeated resources rather than standalone pictures
- Decision: whether output needs visual order, content-stream order, or search-oriented order. Implementation pressure point: scan page resources and content streams while preserving object references. Acceptance evidence: font subset name, embedded state, encoding map, and ToUnicode status. Regression trigger: OCR layers can contain stale or misaligned text over scanned pages
- Decision: image extraction format, color conversion, compression retention, and naming. Implementation pressure point: extract text runs with coordinates, font identity, Unicode mapping, and style signals. Acceptance evidence: warnings for hidden, clipped, rotated, or overlapping content. Regression trigger: PDF drawing order may not equal human reading order
- Decision: font subset naming, encoding diagnostics, and missing ToUnicode handling. Implementation pressure point: extract images with page location, dimensions, color space, and original object data when needed. Acceptance evidence: page number, object reference, coordinates, decoded text, font, and confidence. Regression trigger: ligatures and custom encodings can make copied text differ from visible text
Casos limite
- PDF drawing order may not equal human reading order
- ligatures and custom encodings can make copied text differ from visible text
- images may be masks, soft masks, or repeated resources rather than standalone pictures
- OCR layers can contain stale or misaligned text over scanned pages
Delphi / C++Builder notes
PDFlibPas should sit behind a small service boundary that receives files, streams, profiles, and credentials, then returns output paths, warnings, metrics, and validation status. Important terms include text extraction, image extraction, font resource, ToUnicode, content stream, coordinates.
Exemplo de código Delphi
O esboço Delphi abaixo mostra um limite de serviço prático para este tema. Mantenha checagens de política, logs e validação fora do trecho estreito que chama o produto para que o fluxo continue testável.
procedure ExtractForIndexing(const FileName, OutputDir: string);
var
Pdf: TPDFlib;
begin
Pdf := TPDFlib.Create;
try
Pdf.LoadFromFile(FileName, '');
SaveExtractedText(OutputDir, ExtractDocumentText(Pdf));
SaveEmbeddedImages(OutputDir, ExtractDocumentImages(Pdf));
SaveFontInventory(OutputDir, BuildFontInventory(Pdf));
finally
Pdf.Free;
end;
end;Checklist de produção
- Run the workflow on an empty file, a normal customer file, and a worst-case file
- Open the generated PDF with the target viewer, validator, printer, or downstream application
- Log product version, profile version, input hash, output path, elapsed time, and warning count
- Keep passwords, certificates, temporary files, and customer data under explicit retention rules
- Add regression documents when a customer file exposes a new edge case