Lazarus Pascal Requires Chilkat v11.7.0+
Lazarus Pascal
Assess PDF Text Quality Before Extracting
See more PDF Text Extraction Examples
Demonstrates the "assess" operation, which returns only the quality report: whether the text can be trusted, which pages are scanned images that need OCR, and how each page's text was found. Use it to triage documents before extracting. (Chilkat does not perform OCR.)Chilkat Lazarus Pascal Downloads
program ChilkatDemo;
// Demonstrates using the Chilkat Pascal wrapper via the C bridge DLL.
// Builds as a console application under Lazarus (FPC) or Delphi.
{$IFDEF FPC}
{$MODE DELPHI}
{$ENDIF}
{$APPTYPE CONSOLE}
uses
{$IFDEF UNIX}
cthreads,
{$ENDIF}
SysUtils,
CkDllLoader,
Chilkat.Pdf,
Chilkat.JsonObject;
// ---------------------------------------------------------------------------
procedure RunDemo;
var
success: Boolean;
pdf: TPdf;
json: TJsonObject;
jsonOut: TJsonObject;
j: Integer;
count_j: Integer;
i: Integer;
count_i: Integer;
begin
success := False;
// This example requires the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.
// The PDF used in this example (page 2 is a scanned image with no text) is available at mixed_text_image.pdf
pdf := TPdf.Create;
success := pdf.LoadFile('qa_data/pdf/mixed_text_image.pdf');
if (success = False) then
begin
WriteLn(pdf.LastErrorText);
Exit;
end;
json := TJsonObject.Create;
jsonOut := TJsonObject.Create;
// "assess" computes the quality report without producing any text.
// It is fast, and it is always allowed, even for an encrypted PDF that forbids copying.
success := pdf.ExtractText('assess',json,jsonOut);
if (success = False) then
begin
WriteLn(pdf.LastErrorText);
Exit;
end;
// The overall rating is the worst rating among the pages that have text:
// "good", "fair", "poor", or "none" when there is no text at all.
WriteLn('Rating: ' + jsonOut.StringOf('quality.rating'));
// Is the PDF tagged (does it have a structure tree)?
WriteLn('Tagged: ' + jsonOut.BoolOf('quality.tagged'));
// The pages that are images only and would need OCR, such as "2" or "4,9".
WriteLn('Pages needing OCR: ' + jsonOut.StringOf('quality.pagesNeedingOcr'));
// The per-page report.
i := 0;
count_i := jsonOut.SizeOfArray('quality.pages');
while i < count_i do
begin
jsonOut.I := i;
// textSource is "text" (real text), "ocrLayer" (invisible text over an image),
// "imageOnly" (needs OCR), "mixed", or "empty".
WriteLn('Page ' + jsonOut.IntOf('quality.pages[i].page') + ': rating ' + jsonOut.StringOf('quality.pages[i].rating') + ', textSource ' + jsonOut.StringOf('quality.pages[i].textSource'));
// Each issue has a machine-readable code and a sentence.
j := 0;
count_j := jsonOut.SizeOfArray('quality.pages[i].issues');
while j < count_j do
begin
jsonOut.J := j;
WriteLn(' ' + jsonOut.StringOf('quality.pages[i].issues[j].code') + ': ' + jsonOut.StringOf('quality.pages[i].issues[j].message'));
j := j + 1;
end;
i := i + 1;
end;
// Decide what to do with the document:
if (jsonOut.StringOf('quality.rating') = 'none') then
begin
WriteLn('No extractable text; the whole document needs OCR.');
end
else
begin
if (jsonOut.StringOf('quality.pagesNeedingOcr') <> '') then
begin
WriteLn('Some pages need OCR; the remaining pages can be extracted with the text or markdown operation.');
end
else
begin
WriteLn('All pages can be extracted.');
end;
end;
// Sample output:
// Rating: good
// Tagged: false
// Pages needing OCR: 2
// Page 1: rating good, textSource text
// Page 2: rating none, textSource imageOnly
// imageOnly: No text; page is a scanned image
// Page 3: rating good, textSource text
// Some pages need OCR; the remaining pages can be extracted with the text or markdown operation.
pdf.Free;
json.Free;
jsonOut.Free;
end;
// ---------------------------------------------------------------------------
begin
try
RunDemo;
except
on E: Exception do
WriteLn('Unhandled exception: ', E.ClassName, ': ', E.Message);
end;
WriteLn;
{$IFDEF MSWINDOWS}
WriteLn('Press Enter to exit...');
ReadLn;
{$ENDIF}
end.