Kako analizirati PDF forme dokumenta koristeći ONLYOFFICE makro

2 May 2025By Marko Todorovic

U današnjem brzom digitalnom okruženju, pisci, urednici i kreatori sadržaja često se suočavaju s problemima da dobiju značajne uvide o svojim dokumentima. Razumevanje metrika kao što su čitljivost, učestalost reči i strukturna ravnoteža može značajno poboljšati kvalitet dokumenta, ali je ručna analiza vremenski zahteva i često nedosledna. U ovom blog postu, pokazaćemo vam kako da kreirate moćnu ONLYOFFICE makro komandu koja automatski analizira vaše dokumente i generiše sveobuhvatne izveštaje.

How to analyze PDF form documents with ONLYOFFICE macro

Izrada makroa za analizu dokumenata

Hajde da razložimo naš makro na funkcionalne komponente i objasnimo kako svaki deo funkcioniše.

Podešavanje glavne funkcije

Osnova naše makro funkcije je funkcija analyzeDocument(), koja orkestrira čitav proces analize:

function analyzeDocument() {
    try {
        // Get document and all text
        var oDocument = Api.GetDocument();
        var allText = "";
        var paragraphs = oDocument.GetAllParagraphs();
        
        // Check if document is empty
        if (paragraphs.length === 0) {
            console.log("Warning: Document is empty or no paragraphs found for analysis.");
            return;
        }
        
        // Collect all text
        paragraphs.forEach(function(paragraph) {
            allText += paragraph.GetText() + " ";
        });
        
        // Perform analyses
        var stats = calculateBasicStats(allText, paragraphs);
        var advancedStats = calculateAdvancedStats(allText, stats);
        var commonWords = findCommonWords(allText, 10);
        
        // Create report
        createAndAddReport(oDocument, stats, advancedStats, commonWords);
        
        // Log success
        console.log("Success: Document analysis completed. Report added to the end of the document.");
    } catch (error) {
        console.log("Error: " + error.message);
    }
}

Ova funkcija najpre prikuplja sav tekst iz dokumenta, zatim ga prosleđuje specijalizovanim analiznim funkcijama, i na kraju kreira izveštaj. Try-catch blok osigurava da makro na elegantan način upravlja svim greškama.

Izračunavanje osnovne statistike

Funkcija calculateBasicStats() obrađuje tekst kako bi izvukla osnovne metrike:

function calculateBasicStats(text, paragraphs) {
    // Word count
    var words = text.split(/\s+/).filter(function(word) { 
        return word.length > 0; 
    });
    var wordCount = words.length;
    
    // Sentence count
    var sentences = text.split(/[.!?]+/).filter(function(sentence) { 
        return sentence.trim().length > 0; 
    });
    var sentenceCount = sentences.length;
    
    // Paragraph count
    var paragraphCount = paragraphs.length;
    
    // Character count
    var charCountWithSpaces = text.length;
    var charCountWithoutSpaces = text.replace(/\s+/g, "").length;
    
    // Line count (approximate)
    var lineCount = Math.ceil(charCountWithSpaces / 70);
    
    return {
        wordCount: wordCount,
        sentenceCount: sentenceCount,
        paragraphCount: paragraphCount,
        charCountWithSpaces: charCountWithSpaces,
        charCountWithoutSpaces: charCountWithoutSpaces,
        lineCount: lineCount,
        words: words,
        sentences: sentences
    };
}

Ova funkcija deli tekst na reči i rečenice, broji odlomke i izračunava broj karaktera i redova.

Izvođenje napredne analize

Za dublje uvide, funkcija calculateAdvancedStats() izračunava sofisticiranije metrike:

function calculateAdvancedStats(text, basicStats) {
    // Average sentence length
    var avgWordsPerSentence = basicStats.wordCount / Math.max(1, basicStats.sentenceCount);
    
    // Average paragraph length
    var avgWordsPerParagraph = basicStats.wordCount / Math.max(1, basicStats.paragraphCount);
    
    // Average word length
    var totalWordLength = basicStats.words.reduce(function(sum, word) {
        return sum + word.length;
    }, 0);
    var avgWordLength = totalWordLength / Math.max(1, basicStats.wordCount);
    
    // Readability score (simplified Flesch-Kincaid)
    var readabilityScore = 206.835 - 1.015 * avgWordsPerSentence - 84.6 * (totalWordLength / basicStats.wordCount);
    
    // Estimated reading time
    var readingTimeMinutes = Math.ceil(basicStats.wordCount / 200);
    
    return {
        avgWordsPerSentence: avgWordsPerSentence,
        avgWordsPerParagraph: avgWordsPerParagraph,
        avgWordLength: avgWordLength,
        readabilityScore: readabilityScore,
        readingTimeMinutes: readingTimeMinutes
    };
}

Ovo izračunava prosečne dužine rečenica i odlomaka, ocene čitljivosti i procenjeno vreme čitanja.

Analiziranje frekvencije reči

Funkcija findCommonWords() identifikuje najčešće korišćene reči:

function findCommonWords(text, limit) {
    // Clean text and convert to lowercase
    var cleanText = text.toLowerCase().replace(/[.,\/#!$%\^&\*;:{}=\-_`~()]/g, "");
    
    // Split into words
    var words = cleanText.split(/\s+/).filter(function(word) { 
        return word.length > 3; 
    });
    
    // Calculate word frequencies
    var wordFrequency = {};
    words.forEach(function(word) {
        wordFrequency[word] = (wordFrequency[word] || 0) + 1;
    });
    
    // Filter stop words
    var stopWords = ["this", "that", "with", "from", "have", "been"];
    stopWords.forEach(function(stopWord) {
        delete wordFrequency[stopWord];
    });
    
    // Sort by frequency
    var sortedWords = Object.keys(wordFrequency).sort(function(a, b) {
        return wordFrequency[b] - wordFrequency[a];
    });
    
    // Return top N words
    return sortedWords.slice(0, limit).map(function(word) {
        return { word: word, frequency: wordFrequency[word] };
    });
}
function findCommonWords(text, limit) {
    // Clean text and convert to lowercase
    var cleanText = text.toLowerCase().replace(/[.,\/#!$%\^&\*;:{}=\-_`~()]/g, "");
    
    // Split into words
    var words = cleanText.split(/\s+/).filter(function(word) { 
        return word.length > 3; 
    });
    
    // Calculate word frequencies
    var wordFrequency = {};
    words.forEach(function(word) {
        wordFrequency[word] = (wordFrequency[word] || 0) + 1;
    });
    
    // Filter stop words
    var stopWords = ["this", "that", "with", "from", "have", "been"];
    stopWords.forEach(function(stopWord) {
        delete wordFrequency[stopWord];
    });
    
    // Sort by frequency
    var sortedWords = Object.keys(wordFrequency).sort(function(a, b) {
        return wordFrequency[b] - wordFrequency[a];
    });
    
    // Return top N words
    return sortedWords.slice(0, limit).map(function(word) {
        return { word: word, frequency: wordFrequency[word] };
    });
}

Ova funkcija uklanja interpunkciju, filtrira uobičajene reči za ispunjavanje i vraća najčešće korišćene reči u dokumentu.

Generisanje izveštaja

Na kraju, funkcija createAndAddReport() sabira i formatira sve rezultate analize:

function createAndAddReport(oDocument, basicStats, advancedStats, commonWords) {
    // Add new page
    var oParagraph = Api.CreateParagraph();
    oParagraph.AddPageBreak();
    oDocument.AddElement(oDocument.GetElementsCount(), oParagraph);
    
    // Add title
    var oHeading = Api.CreateParagraph();
    oHeading.AddText("DOCUMENT ANALYSIS REPORT");
    oDocument.AddElement(oDocument.GetElementsCount(), oHeading);
    
    // Add basic statistics section
    var oSubHeading = Api.CreateParagraph();
    oSubHeading.AddText("BASIC STATISTICS");
    oDocument.AddElement(oDocument.GetElementsCount(), oSubHeading);
    
    // Add statistics content
    // ... (code that adds individual statistics)
    
    // Add advanced analysis section
    // ... (code that adds advanced metrics)
    
    // Add word frequency section
    // ... (code that adds word frequency list)
    
    // Add footer
    var oFootnotePara = Api.CreateParagraph();
    oFootnotePara.AddText("This report was generated by OnlyOffice Document Statistics and Analysis Tool on " + 
                        new Date().toLocaleString() + ".");
    oDocument.AddElement(oDocument.GetElementsCount(), oFootnotePara);
}

Ova funkcija kreira strukturirani izveštaj na kraju dokumenta sa svim rezultatima analize.

How to analyze PDF form documents with ONLYOFFICE macro

Kompletan makro kod

Evo kompletnog makro koda koji možete kopirati i koristiti:

(function() {
    // Main function - starts all operations
    function analyzeDocument() {
        try {
            // Get document and all text
            var oDocument = Api.GetDocument();
            var allText = "";
            var paragraphs = oDocument.GetAllParagraphs();
            
            // Check if document is empty
            if (paragraphs.length === 0) {
                console.log("Warning: Document is empty or no paragraphs found for analysis.");
                return;
            }
            
            // Collect all text
            paragraphs.forEach(function(paragraph) {
                allText += paragraph.GetText() + " ";
            });
            
            // Calculate basic statistics
            var stats = calculateBasicStats(allText, paragraphs);
            
            // Perform advanced analysis
            var advancedStats = calculateAdvancedStats(allText, stats);
            
            // Find most common words
            var commonWords = findCommonWords(allText, 10);
            
            // Create and add report to the document
            createAndAddReport(oDocument, stats, advancedStats, commonWords);
            
            // Inform user
            console.log("Success: Document analysis completed. Report added to the end of the document.");
        } catch (error) {
           console.log("Error: An error occurred during processing: " +         error.message);
        }
    }
    
    // Calculate basic statistics
    function calculateBasicStats(text, paragraphs) {
        // Word count
        var words = text.split(/\s+/).filter(function(word) { 
            return word.length > 0; 
        });
        var wordCount = words.length;
        
        // Sentence count
        var sentences = text.split(/[.!?]+/).filter(function(sentence) { 
            return sentence.trim().length > 0; 
        });
 var sentenceCount = sentences.length;
        
        // Paragraph count
        var paragraphCount = paragraphs.length;
        
        // Character count (with and without spaces)
        var charCountWithSpaces = text.length;
        var charCountWithoutSpaces = text.replace(/\s+/g, "").length;
        
        // Line count (approximate)
        var lineCount = Math.ceil(charCountWithSpaces / 70); // Approximately 70 characters/line
   return {
            wordCount: wordCount,
            sentenceCount: sentenceCount,
            paragraphCount: paragraphCount,
            charCountWithSpaces: charCountWithSpaces,
            charCountWithoutSpaces: charCountWithoutSpaces,
            lineCount: lineCount,
            words: words,
            sentences: sentences
        };
    }
    
    // Calculate advanced statistics
    function calculateAdvancedStats(text, basicStats) {
        // Average sentence length (in words)
        var avgWordsPerSentence = basicStats.wordCount / Math.max(1, basicStats.sentenceCount);
        
        // Average paragraph length (in words)
        var avgWordsPerParagraph = basicStats.wordCount / Math.max(1, basicStats.paragraphCount);
        
        // Average word length (in characters)
        var totalWordLength = basicStats.words.reduce(function(sum, word) {
            return sum + word.length;
        }, 0);
        var avgWordLength = totalWordLength / Math.max(1, basicStats.wordCount);
        
        // Readability score (simplified Flesch-Kincaid)
        var readabilityScore = 206.835 - 1.015 * (basicStats.wordCount / Math.max(1, basicStats.sentenceCount)) - 84.6 * (totalWordLength / Math.max(1, basicStats.wordCount));
        
        // Estimated reading time (minutes)
        var readingTimeMinutes = Math.ceil(basicStats.wordCount / 200); // Average reading speed 200 words/minute
        
        return {
            avgWordsPerSentence: avgWordsPerSentence,
            avgWordsPerParagraph: avgWordsPerParagraph,
            avgWordLength: avgWordLength,
            readabilityScore: readabilityScore,
            readingTimeMinutes: readingTimeMinutes
        };
    }
    
    // Find most common words
    function findCommonWords(text, limit) {
        // Clean text and convert to lowercase
        var cleanText = text.toLowerCase().replace(/[.,\/#!$%\^&\*;:{}=\-_`~()]/g, "");
        
   // Split into words
        var words = cleanText.split(/\s+/).filter(function(word) { 
            return word.length > 3; // Filter out very short words
        });
   // Calculate word frequencies
        var wordFrequency = {};
        words.forEach(function(word) {
            if (wordFrequency[word]) {
                wordFrequency[word]++;
            } else {
                wordFrequency[word] = 1;
            }
        });

   // Filter stop words (common English words)
        var stopWords = ["this", "that", "these", "those", "with", "from", "have", "been", "were", "they", "their", "what", "when", "where", "which", "there", "will", "would", "could", "should", "about", "also"];
        stopWords.forEach(function(stopWord) {
            if (wordFrequency[stopWord]) {
                delete wordFrequency[stopWord];
            }
        });
        
        // Sort by frequency
        var sortedWords = Object.keys(wordFrequency).sort(function(a, b) {
            return wordFrequency[b] - wordFrequency[a];
        });
        
        // Take top N words
        var topWords = sortedWords.slice(0, limit);
        
        // Return results as word-frequency pairs
        return topWords.map(function(word) {
            return {
                word: word,
                frequency: wordFrequency[word]
            };
        });
    }
   
    // Create and add report to document
    function createAndAddReport(oDocument, basicStats, advancedStats, commonWords) {
        // Add new page
        var oParagraph = Api.CreateParagraph();
        oParagraph.AddPageBreak();
        oDocument.AddElement(oDocument.GetElementsCount(), oParagraph);
        
        // Main title - highlighting in capital letters
        var oHeading = Api.CreateParagraph();
        oHeading.AddText("DOCUMENT ANALYSIS REPORT");
        oDocument.AddElement(oDocument.GetElementsCount(), oHeading);
        
        // Subheading - in capital letters
        var oSubHeading = Api.CreateParagraph();
        oSubHeading.AddText("BASIC STATISTICS");
        oDocument.AddElement(oDocument.GetElementsCount(), oSubHeading);

        // Add basic statistics
        var oStatsPara = Api.CreateParagraph();
        oStatsPara.AddText("• Word Count: " + basicStats.wordCount);
        oDocument.AddElement(oDocument.GetElementsCount(), oStatsPara);
        
        oStatsPara = Api.CreateParagraph();
        oStatsPara.AddText("• Sentence Count: " + basicStats.sentenceCount);
        oDocument.AddElement(oDocument.GetElementsCount(), oStatsPara);
        
        oStatsPara = Api.CreateParagraph();
        oStatsPara.AddText("• Paragraph Count: " +      basicStats.paragraphCount);
        oDocument.AddElement(oDocument.GetElementsCount(), oStatsPara);
        
        oStatsPara = Api.CreateParagraph();
        oStatsPara.AddText("• Character Count (with spaces): " +  basicStats.charCountWithSpaces);
        oDocument.AddElement(oDocument.GetElementsCount(), oStatsPara);
        
        oStatsPara = Api.CreateParagraph();
        oStatsPara.AddText("• Character Count (without spaces): " +  basicStats.charCountWithoutSpaces);
        oDocument.AddElement(oDocument.GetElementsCount(), oStatsPara);
        

        oStatsPara = Api.CreateParagraph();
        oStatsPara.AddText("• Estimated Line Count: " + basicStats.lineCount);
        oDocument.AddElement(oDocument.GetElementsCount(), oStatsPara);
        
        // Advanced analysis title
        oSubHeading = Api.CreateParagraph();
        oSubHeading.AddText("ADVANCED ANALYSIS");
        oDocument.AddElement(oDocument.GetElementsCount(), oSubHeading);
        
        // Add advanced analysis results
        oStatsPara = Api.CreateParagraph();
        oStatsPara.AddText("• Average Sentence Length: " + advancedStats.avgWordsPerSentence.toFixed(2) + " words");
        oDocument.AddElement(oDocument.GetElementsCount(), oStatsPara);
        
        oStatsPara = Api.CreateParagraph();
        oStatsPara.AddText("• Average Paragraph Length: " + advancedStats.avgWordsPerParagraph.toFixed(2) + " words");
        oDocument.AddElement(oDocument.GetElementsCount(), oStatsPara);
        
        oStatsPara = Api.CreateParagraph();
        oStatsPara.AddText("• Average Word Length: " + advancedStats.avgWordLength.toFixed(2) + " characters");
        oDocument.AddElement(oDocument.GetElementsCount(), oStatsPara);
        
        oStatsPara = Api.CreateParagraph();
        oStatsPara.AddText("• Readability Score: " + advancedStats.readabilityScore.toFixed(2));
        oDocument.AddElement(oDocument.GetElementsCount(), oStatsPara);
        
        oStatsPara = Api.CreateParagraph();
        oStatsPara.AddText("• Estimated Reading Time: " + advancedStats.readingTimeMinutes + " minutes");
        oDocument.AddElement(oDocument.GetElementsCount(), oStatsPara);
        
        // Common words title
        oSubHeading = Api.CreateParagraph();
        oSubHeading.AddText("MOST FREQUENTLY USED WORDS");
        oDocument.AddElement(oDocument.GetElementsCount(), oSubHeading);
        
        // We'll create a simple list instead of a table
        if (commonWords.length > 0) {
            for (var i = 0; i < commonWords.length; i++) {
                var oWordPara = Api.CreateParagraph();
                oWordPara.AddText((i + 1) + ". " + commonWords[i].word + " (" + commonWords[i].frequency + " times)");
                oDocument.AddElement(oDocument.GetElementsCount(), oWordPara);
            }
        } else {
            var oNoneFoundPara = Api.CreateParagraph();
            oNoneFoundPara.AddText("No frequently used words found.");
            oDocument.AddElement(oDocument.GetElementsCount(), oNoneFoundPara);
        }
        
        // Footer note
        var oFootnotePara = Api.CreateParagraph();
        oFootnotePara.AddText("This report was generated by OnlyOffice Document Statistics and Analysis Tool on " + 
                            new Date().toLocaleString() + ".");
        oDocument.AddElement(oDocument.GetElementsCount(), oFootnotePara);
    }
    
    // Run the macro
    analyzeDocument();
})();

    

Da biste koristili ovaj makro u ONLYOFFICE-u

  1. Otvorite svoj dokument u ONLYOFFICE-u
  2. Idi na karticu Pregled i izaberite Makroe
  3. Kreirajte novi makro i nalepite kod
  4. Pokrenite makro
  5. Detaljan izveštaj o analizi će biti dodat na kraju vašeg dokumenta

Hajde sada da pokrenemo naš makro i vidimo kako to funkcioniše!

Ovaj makro je dragocen alat za profesionalce koji žele da automatizuju analizu teksta i procese dokumentacije u modernom kancelarijskom okruženju. Nadamo se da će to biti koristan dodatak vašem radnom alatu.

Podržavamo vas da istražite ONLYOFFICE API dokumentaciju kako biste napravili svoje prilagođene makroe ili unapredili ovaj. Ako imate neke ideje za poboljšanja ili predloge za nove makroe, slobodno nas kontaktirajte. Vaše povratne informacije nam pomažu da nastavimo sa razvojem alata koji čine kreiranje i uređivanje dokumenata efikasnijim.

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How to analyze PDF form documents with ONLYOFFICE macro

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