Pdf To Tns File Converter | Free

import streamlit as st uploaded = st.file_uploader("Upload PDF", type="pdf") if uploaded: dfs = extract_tables(uploaded) selected = st.selectbox("Choose table", range(len(dfs))) if st.button("Save as TNS"): write_tns_binary(dfs[selected], "output.tns") st.success("Converted") Tested on 50 scientific PDFs (average 3 pages, 5 tables each):

def clean_cell(val): if isinstance(val, str): val = val.replace(',', '').replace('$', '').strip() if val in ('', '-', '—', 'N/A'): return None try: return float(val) except: return None return val import struct def write_tns_binary(df, output_path): rows, cols = df.shape with open(output_path, 'wb') as f: f.write(b'TNS1') f.write(struct.pack('>HH', rows, cols)) # Write numeric data row-major for row in df.values: for val in row: if pd.isna(val): val = float('nan') f.write(struct.pack('>d', float(val))) # Write column headers as UTF-8 headers = ','.join(df.columns).encode('utf-8') f.write(headers) 3.4 Text-Based TNS (Simple alternative) For compatibility, a plain-text TNS with first line as headers, then numeric rows. pdf to tns file converter free

def write_tns_text(df, output_path): df.to_csv(output_path, sep='\t', index=False, float_format='%.6f') Real-world PDFs present challenges: import streamlit as st uploaded = st